ingrid van keilegom · 2020. 11. 14. · curriculum vitae ingrid van keilegom, november 14, 2020 2....
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Curriculum Vitae
Ingrid Van Keilegom
ORSTAT
KU Leuven
https://feb.kuleuven.be/ingrid.vankeilegom/
Last update: March 17, 2021
Contents
1 Personal information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
2 Publications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
3 Scientific presentations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
4 Research visits abroad . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
5 Teaching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
6 Supervision of PhD students and postdocs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
7 Grants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
8 Fellowships, honors and awards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
9 Editorships / associate editorships . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
10 Service to the profession . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 ii
1 Personal information
Personal data
Name : Van Keilegom
First Name : Ingrid
Professional Address : KU Leuven
ORSTAT
Naamsestraat 69
B-3000 Leuven
Belgium
Phone : + 32 16 32 87 44
E-mail : [email protected]
Date of birth : 24 December 1971
Place of birth : Wilrijk (Antwerp)
Nationality : Belgian
Education
1. Ph.D. in Statistics, ‘Nonparametric estimation of the conditional distribution in regres-
sion with censored data’, Limburgs Universitair Centrum (now : Universiteit Hasselt),
15 May 1998, advisor : Prof. Dr. N. Veraverbeke. The thesis can be downloaded from
http://ibiostat.be/publications.
2. Master of Science in Biostatistics, Limburgs Universitair Centrum, 1998
3. Licentiate in Mathematical Sciences, Universitaire Instelling Antwerpen, 1993
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 1
Academic appointments
Permanent positions :
1. From 1 December 2016 on : Full Professor at KU Leuven
2. From 1 December 2016 on : Part-time Full Professor at UCLouvain
3. From 1 October 2008 until 30 November 2016 : Full Professor at UCLouvain
4. From 1 October 2005 until 30 September 2008 : Associate Professor at UCLouvain
5. From 1 September 2000 until 30 September 2005 : Assistant Professor at UCLouvain
6. From 16 August 1999 until 31 August 2000 : Assistant Professor at Eindhoven University
of Technology (The Netherlands), Department of Mathematics
7. From 1 October 1998 until 15 August 1999 : Assistant Professor at Pennsylvania State
University (U.S.A.), Department of Statistics
8. From 1 October 1993 until 30 September 1998 : Ph.D. student at Limburgs Universitair
Centrum, Department of Mathematics
Visiting positions :
1. Visiting professor at ENSAI, Rennes, November 2018
2. Visiting professor at Universite de Toulouse I, June 2017
3. Visiting professor at Universiteit Hasselt, October-November 2016
4. Visiting professor at Universite de Toulouse I, March 2016
5. Visiting professor at Universite de Toulouse I, November-December 2014
6. Visiting professor at ENSAI, Rennes, October-November 2014
7. Visiting professor at Universiteit Hasselt, September-October 2014
8. Visiting professor at Universite de Toulouse I, March-April 2014
9. Visiting professor at ENSAI, Rennes, December 2013
10. Visiting professor at Universiteit Hasselt, October-November 2012
11. Visiting professor at Universiteit Hasselt, October-November 2010
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 2
12. Visiting professor at Universite de Toulouse I, March-May 2010
13. Visiting professor at Universiteit Hasselt, April-May 2009
14. Visiting professor at INSA, Rennes, July 2008
15. Visiting professor at Universite Paul Sabatier, Toulouse, June 2008
16. Visiting professor at Universiteit Hasselt, April-May 2008
17. Visiting professor at Universite Paul Sabatier, Toulouse, February-March 2007
18. Visiting professor at University of Vigo, June 2006 and June 2007
19. Visiting professor at Limburgs Universitair Centrum, April-June 2002
20. Visiting professor at the Australian National University, January-February 2002
21. Extramural fellow of the research institute CentER, Tilburg University
Main research interests
1. Survival/duration analysis (cure models, dependent censoring, ...)
2. Measurement error problems
3. Quantile regression
4. Non- and semiparametric regression
5. Mathematical statistics
6. Instrumental variables, endogeneity, frontier models in econometrics
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 3
2 Publications
Published papers
159. Beyhum, J., Florens, J.-P. and Van Keilegom, I. (2021). Instrumental variables in
duration models. J. Bus. Econ. Statist. (to appear).
158. Jeon, J.M., Park, B. and Van Keilegom, I. (2021). Additive regression for predictors
of various natures and possibly incomplete Hilbertian responses. Electr. J. Statist (to
appear).
157. Han, B., Van Keilegom, I. and Wang, X. (2021). Semiparametric estimation of the
non-mixture cure model with auxiliary survival information. Biometrics (to appear).
156. Kloodt, N., Neumeyer, N. and Van Keilegom, I. (2021). Specification testing in semi-
parametric transformation models. TEST (to appear).
155. Jeon, J.M., Park, B.U. and Van Keilegom, I. (2021). Additive regression for non-
Euclidean responses and predictors. Ann. Statist. (to appear).
154. Delaigle, A. and Van Keilegom, I. (2021). Deconvolution with unknown error distri-
bution. In: Yi, G., Delaigle, A. and Gustafson, P. (eds.), Handbook on Measurement
Error Models, CRC (to appear).
153. Conde-Amboage, M., Van Keilegom, I. and Gonzalez-Manteiga, W. (2021). A new lack-
of-fit test for quantile regression with censored data. Scand. J. Statist. (to appear).
152. Escobar-Bach, M., Maller, R., Van Keilegom, I. and Zhao, M. (2021). Estimation of
the cure rate for distributions in the Gumbel maximum domain of attraction under
insufficient follow-up. Biometrika (to appear).
151. Molenberghs, G., Buyse, M., Hens, N., Beutels, P., Faes, C., Verbeke, G., Van Damme,
P., Goossens, H., Neyens, T., Abrams, S., Theeten, H., Pepermans, K., Alonso Abad, A.,
Van Keilegom, I., Speybroeck, N., Legrand, C., De Buyser, S. and Hulstaert, F. (2021).
Infectious diseases epidemiology, quantitative methodology, and clinical research in the
midst of the COVID-19 pandemic: Perspective from a European country. Controlled
Clinical Trials (to appear).
150. Deresa, N. and Van Keilegom, I. (2021). On semiparametric modelling, estimation and
inference for survival data subject to dependent censoring. Biometrika (to appear).
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 4
149. Amico, M., Van Keilegom, I. and Han, B. (2021). Assessing cure status prediction from
survival data using receiver operating characteristic curves. Biometrika (to appear).
148. Bucher, A., El Ghouch, A. and Van Keilegom, I. (2021). Single-index quantile regression
models for censored data. In: Daouia, A. and Ruiz-Gazen, A. (eds.), Advances in
Contemporary Statistics and Econometrics, Springer (to appear).
147. de Una Alvarez, J. and Van Keilegom, I. (2021). Efron-Petrosian integrals for doubly
truncated data with covariates: an asymptotic analysis. Bernoulli, 27, 249-273.
146. Noh, H. and Van Keilegom, I. (2020). On relaxing the distributional assumption of
stochastic frontier models. J. Korean Statist. Soc., 49, 1-14.
145. Chown, J., Heuchenne, C. and Van Keilegom, I. (2020). The nonparametric location-
scale mixture cure model. TEST, 29, 1008-1028.
144. De Backer, M., El Ghouch, A. and Van Keilegom, I. (2020). Linear censored quantile
regression: a novel minimum-distance approach. Scand. J. Statist., 47, 1275-1306.
143. Deresa, N.W. and Van Keilegom, I. (2020). A multivariate normal regression model for
survival data subject to different types of dependent censoring. Comp. Statist. Data
Anal., 106879.
142. Racine, J. and Van Keilegom, I. (2020). A smooth nonparametric, multivariate, mixed-
data location-scale test. J. Bus. Econ. Statist., 38, 784-795.
141. Geerdens, C., Janssen, P. and Van Keilegom, I. (2020). Goodness-of-fit test for a
parametric survival function with cure fraction. TEST, 29, 768-792.
140. Zhao, Y., Gijbels, I. and Van Keilegom, I. (2020). Inference for semiparametric Gaussian
copula model adjusted for linear regression using residual ranks. Bernoulli, 26, 2815-
2846.
139. Patilea, V. and Van Keilegom, I. (2020). A general approach for cure models in survival
analysis. Ann. Statist., 48, 2323-2346.
138. Lopez-Cheda, A., Jacome-Pumar, A., Van Keilegom, I. and Cao, R. (2020). Nonpara-
metric covariate hypothesis tests for the cure rate in mixture cure models. Statist. Med.,
39, 2291-2307.
137. Florens, J.-P., Simar, L. and Van Keilegom, I. (2020). Estimation of the boundary of a
variable observed with symmetric error. J. Amer. Statist. Assoc., 115, 425-441.
136. Deresa, N.W. and Van Keilegom, I. (2020). Flexible parametric model for survival data
subject to dependent censoring. Biometr. J., 62, 136-156.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 5
135. Delsol, L. and Van Keilegom, I. (2020). Semiparametric M-estimation with non-smooth
criterion functions. Ann. Inst. Statist. Math., 72, 577-605.
134. Bravo, F., Escanciano, J.C. and Van Keilegom, I. (2020). Two-step semiparametric
empirical likelihood inference. Ann. Statist., 48, 1-26.
133. Colling, B. and Van Keilegom, I. (2020). Estimation of a semiparametric transformation
model : a novel approach based on least squares minimization. Electr. J. Statist., 14,
769-800.
132. Escobar-Bach, M. and Van Keilegom, I. (2019). Non-parametric cure rate estimation
under insufficient follow-up using extremes. J. Roy. Statist. Soc. - Series B, 81,
861-880.
131. Colling, B. and Van Keilegom, I. (2019). Estimation of fully nonparametric transforma-
tion models. Bernoulli, 25, 3762-3795.
130. De Backer, M., El Ghouch, A. and Van Keilegom, I. (2019). An adapted loss function
for censored quantile regression. J. Amer. Statist. Assoc., 114, 1126-1137.
129. Neumeyer, N. and Van Keilegom, I. (2019). Bootstrap of residual processes in regression:
to smooth or not to smooth ? Biometrika, 106, 385-400.
128. Amico, M., Van Keilegom, I. and Legrand, C. (2019). The single-index / Cox mixture
cure model. Biometrics, 75, 452-462.
127. Bertrand, A., Van Keilegom, I. and Legrand, C. (2019). Flexible parametric approach
to classical measurement error variance estimation without auxiliary data. Biometrics,
75, 297-307.
126. Mammen, E., Van Keilegom, I. and Yu, K. (2019). Expansion for moments of regression
quantiles with applications to nonparametric testing. Bernoulli, 25, 793-827.
125. Muller, U. and Van Keilegom, I. (2019). Goodness-of-fit tests for the cure rate in a
mixture cure model. Biometrika, 106, 211-227.
124. Vanhems, A. and Van Keilegom, I. (2019). Estimation of a semiparametric transforma-
tion model in the presence of endogeneity. Econometric Theory, 35, 73-110.
123. Wang, L., Van Keilegom, I. and Maidman, A. (2018). Wild residual bootstrap inference
for penalized quantile regression with heteroscedastic errors. Biometrika, 105, 859-872.
122. Hjort, N., McKeague, I. and Van Keilegom, I. (2018). Hybrid combinations of parametric
and empirical likelihoods. Statist. Sinica, 28, 2389-2407.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 6
121. Sujica, A. and Van Keilegom, I. (2018). The copula-graphic estimator in censored
nonparametric location-scale regression models. Econom. Statist., 7, 89-114.
120. Escanciano, J.C., Pardo-Fernandez, J.C. and Van Keilegom, I. (2018). Asymptotic
distribution-free tests for semiparametric regressions with dependent data. Ann. Statist.,
46, 1167-1196.
119. Feve, F., Florens, J.-P. and Van Keilegom, I. (2018). Estimation of conditional ranks
and tests of exogeneity in nonparametric nonseparable models. J. Bus. Econ. Statist.,
36, 334-345.
118. Amico, M. and Van Keilegom, I. (2018). Cure models in survival analysis. Ann. Rev.
Statist. Applic., 5, 311-342.
117. Florens, J., Horowitz, J. and Van Keilegom, I. (2017). Bias-corrected confidence inter-
vals in a class of linear inverse problems. Ann. Econ. Statist., 128, 203-228.
116. Birke, M., Van Bellegem S. and Van Keilegom, I. (2017). Semi-parametric estimation
in a single-index model with endogenous variables. Scand. J. Statist., 44, 168-191.
115. Talamakrouni, M., El Ghouch, A. and Van Keilegom, I. (2017). Parametrically guided
local quasi-likelihood with censored data. Electr. J. Statist., 11, 2773-2799.
114. Colling, B. and Van Keilegom, I. (2017). Goodness-of-fit tests in semiparametric trans-
formation models using the integrated regression function. J. Multiv. Anal., 160,
10-30.
113. Bertrand, A., Legrand, C., Leonard, D. and Van Keilegom, I. (2017). Robustness of
estimation methods in a survival cure model with mismeasured covariates. Comput.
Statist. Data Anal., 113, 3-18.
112. Simar, L., Van Keilegom, I. and Zelenyuk, V. (2017). Nonparametric least squares
methods for stochastic frontier models. J. Product. Anal., 47, 189-204.
111. Portier, F., El Ghouch, A. and Van Keilegom, I. (2017). Efficiency and bootstrap in the
promotion time cure model. Bernoulli, 23, 3437-3468.
110. De Backer, M., El Ghouch, A. and Van Keilegom, I. (2017). Semiparametric copula
quantile regression for complete or censored data. Electr. J. Statist., 11, 1660-1698.
109. Bertrand, A., Legrand, C., Carroll, R., de Meester, C. and Van Keilegom, I. (2017).
Inference in a survival cure model with mismeasured covariates using a SIMEX approach.
Biometrika, 104, 31-50.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 7
108. Escanciano, J.C., Pardo-Fernandez, J.C. and Van Keilegom, I. (2017). Semiparametric
estimation of risk-return relationships. J. Bus. Econ. Statist. 35, 40-52.
107. Lopez-Cheda, A., Cao, R., Jacome, M.A. and Van Keilegom, I. (2017). Nonparametric
incidence estimation and bootstrap bandwidth selection in mixture cure models. Comp.
Statist. Data Anal., 105, 144-165.
106. Garcıa-Portugues, E., Van Keilegom, I., Crujeiras R.M. and Gonzalez-Manteiga, W.
(2016). Testing parametric models in linear-directional regression. Scand. J. Statist.,
43, 1178-1191.
105. Neumeyer, N., Noh, H. and Van Keilegom, I. (2016). Heteroscedastic semiparametric
transformation models: estimation and testing for validity. Statist. Sinica, 26, 925-954.
104. Colling, B. and Van Keilegom, I. (2016). Goodness-of-fit tests in semiparametric trans-
formation models. TEST, 25, 291-308.
103. Gonzalez Manteiga, W., Martınez Miranda, M.D. and Van Keilegom, I. (2016). Goodness-
of-fit test in parametric mixed-effects models based on the estimation of the error dis-
tribution. Biometrika, 103, 133-146.
102. Simar, L., Vanhems, A. and Van Keilegom, I. (2016). Unobserved heterogeneity and
endogeneity in nonparametric frontier estimation. J. Econometrics, 190, 360-373.
101. Talamakrouni, M., Van Keilegom, I. and El Ghouch, A. (2016). Parametrically guided
nonparametric density and hazard estimation with censored data. Comput. Statist.
Data Anal., 93, 308-323.
100. Sujica, A. and Van Keilegom, I. (2015). Estimation of location and scale functionals in
nonparametric regression under copula dependent censoring. Canad. J. Statist., 43,
306-335.
99. Heuchenne, C., Samb, R. and Van Keilegom, I. (2015). Estimating the error distribution
in semiparametric transformation models. Electr. J. Statist., 9, 2391-2419.
98. Noh, H., El Ghouch, A. and Van Keilegom, I. (2015). Semiparametric conditional
quantile estimation through copula-based multivariate models. J. Bus. Econ. Statist.,
33, 167-178.
97. Talamakrouni, M., El Ghouch, A. and Van Keilegom, I. (2015). Guided censored regres-
sion. Scand. J. Statist., 42, 214-233.
96. Colling, B., Heuchenne, C., Samb, R. and Van Keilegom, I. (2015). Estimation of the
error density in a semiparametric transformation model. Ann. Inst. Statist. Math.,
67, 1-18.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 8
95. Kneip, L., Simar, L. and Van Keilegom, I. (2015). Frontier estimation in the presence
of measurement error with unknown variance. J. Econometrics, 184, 379-393.
94. Pardo-Fernandez, J.C., Rodrıguez-Alvarez, M.X. and Van Keilegom, I. (2014). A review
on ROC curves in the presence of covariates. RevStat, 12, 21-41.
93. Moreira, C., de Una-Alvarez, J. and Van Keilegom, I. (2014). Goodness-of-fit tests
for a semiparametric model under random double truncation. Comput. Statist., 29,
1365-1379.
92. Muller, U.U. and Van Keilegom, I. (2014). Efficient quantile regression with auxiliary
information. In : Lahiri, S., Schick, A., SenGupta, A. and Sriram, T.N. (eds.), Contem-
porary developments in statistical theory - Festschrift for H. Koul, Springer, 365-374.
91. Yang, S.J., El Ghouch, A. and Van Keilegom, I. (2014). Varying coefficient models
having different smoothing variables with randomly censored data. Electr. J. Statist.,
8, 226-252.
90. Heuchenne, C., Laurent, S., Legrand, C. and Van Keilegom, I. (2014). Likelihood based
inference for semi-competing risks. Commun. Statist. - Simul. Comput., 43, 1112-
1132.
89. Florens, J.-P., Simar, L. and Van Keilegom, I. (2014). Frontier estimation in nonpara-
metric location-scale models. J. Econometrics, 178, 456-470.
88. Meira-Machado, L., Roca-Pardinas, J., Van Keilegom, I. and Cadarso-Suarez, C. (2013).
Estimation of transition probabilities in a non-Markov model with successive survival
time. Comput. Statist., 28, 2185-2210.
87. Van Keilegom. I. (2013). Discussion on: ‘An updated review of Goodness-of-Fit tests
for regression models’ by W. Gonzalez-Manteiga and R. Crujeiras. TEST, 22, 428-431.
86. Chen, S.X. and Van Keilegom, I. (2013). Estimation in semiparametric models with
missing data. Ann. Inst. Statist. Math., 65, 785-805.
85. Lopez, O., Patilea, V. and Van Keilegom, I. (2013). Single index regression models in
the presence of censoring depending on the covariates. Bernoulli, 19, 721-747.
84. Schwarz, M., Jongbloed, G. and Van Keilegom, I. (2013). On the identifiability of
copulas in bivariate competing risks models. Canad. J. Statist., 41, 291-303.
83. Van Keilegom, I. (2013). Discussion on: ‘Model-free model-fitting and predictive distri-
butions’ by D. Politis. TEST, 22, 234-236.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 9
82. Moreira, C. and Van Keilegom, I. (2013). Bandwidth selection for kernel density esti-
mation with doubly truncated data. Comput. Statist. Data Anal., 61, 107-123.
81. Rotolo, F., Legrand, C. and Van Keilegom, I. (2013). Simulation of clustered multi-state
survival data based on a copula model. Comp. Meth. Progr. Biomedic. 109, 305-312.
80. Dahlke, M., Breidt, F.J., Opsomer, J.D. and Van Keilegom, I. (2013). Nonparametric
endogenous post-stratification estimation. Statist. Sinica, 23, 189-211.
79. Noh, H., El Ghouch, A. and Van Keilegom, I. (2013). Quality of fit measures in the
framework of quantile regression. Scand. J. Statist., 40, 105-118.
78. Wei, J., Carroll, R.J., Muller, U.U., Van Keilegom, I. and Chatterjee, N. (2013). Robust
estimation for homoscedastic regression in the secondary analysis of case-control data.
J. Royal Statist. Soc. - Series B, 75, 185-206.
77. Noh, H., El Ghouch, A. and Van Keilegom, I. (2013). Assessing model adequacy in
possibly misspecified quantile regression. Comput. Statist. Data Anal., 57, 558-569.
76. Noh, H. and Van Keilegom, I. (2012). Efficient model selection in semivarying coefficient
models. Electr. J. Statist., 6, 2519-2534.
75. Van Keilegom, I. (2012). Discussion on: ‘Probabilistic index models’ by O. Thas, J. De
Neve, L. Clement and J.-P. Ottoy. J. Royal Statist. Soc. - Series B, 74, 654.
74. Peng, L., Qi, Y. and Van Keilegom, I. (2012). Jackknife empirical likelihood method for
copulas. TEST, 21, 74-92.
73. Noh, H., Chung, K. and Van Keilegom, I. (2012). Variable selection of varying coefficient
models in quantile regression. Electr. J. Statist., 6, 1220-1238.
72. Muller, U.U. and Van Keilegom, I. (2012). Efficient parameter estimation in regression
with missing responses. Electr. J. Statist., 6, 1200-1219.
71. Ferraty, F., Van Keilegom, I. and Vieu, P. (2012). Regression when both response and
predictor are functions. J. Multiv. Anal., 109, 10-28.
70. Heuchenne, C. and Van Keilegom, I. (2012). Estimation of a general parametric location
in censored regression. In : Van Keilegom, I. and Wilson, P.W. (eds.), Exploring
research frontiers in contemporary statistics and econometrics - Festschrift in honor
of L. Simar, Springer, 177-187.
69. Van Keilegom, I. (2011). Donnees censurees. In : Droesbeke, J.-J. and Saporta, G.
(eds.), Approches nonparametriques en regression, Paris: Editions TECHNIP, 235-251.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 10
68. Varron, D. and Van Keilegom, I. (2011). Uniform in bandwidth exact rates for a class
of kernel estimators. Ann. Inst. Statist. Math., 63, 1077-1102.
67. Van Keilegom, I. and Veraverbeke, N. (2011). Discussion on ‘Statistical models and
methods for dependence in insurance data’ by S. Haug, C. Kluppelberg and L. Peng. J.
Korean Statist. Soc., 40, 155-157.
66. Gonzalez Manteiga, W., Pardo Fernandez, J.C. and Van Keilegom, I. (2011). ROC
curves in nonparametric location-scale regression models. Scand. J. Statist., 38, 169-
184.
65. Linton, O., Mammen, E., Nielsen, J.P. and Van Keilegom, I. (2011). Nonparametric
regression with filtered data. Bernoulli, 17, 60-87.
64. Van Keilegom, I., de Una-Alvarez, J. and Meira-Machado, L. (2011). Nonparametric
location-scale models for censored successive survival times. J. Statist. Plann. Infer.,
141, 1118-1131.
63. El Ghouch, A., Van Keilegom, I. and McKeague, I. (2011). Empirical likelihood confi-
dence intervals for dependent duration data. Econometric Theory, 27, 178-198.
62. Heuchenne, C. and Van Keilegom, I. (2010). Goodness-of-fit tests for the error distri-
bution in nonparametric regression. Comput. Statist. Data Anal., 54, 1942-1951.
61. Molanes Lopez, E.M., Cao, R. and Van Keilegom, I. (2010). Smoothed empirical like-
lihood confidence intervals for the relative distribution with left truncated and right
censored data. Canad. J. Statist., 38, 453-473.
60. Teodorescu, B. and Van Keilegom, I. (2010). Goodness-of-fit test in generalized condi-
tional linear models under left truncation and right censoring. J. Nonpar. Statist., 22,
547-566.
59. Ferraty, F., Van Keilegom, I. and Vieu, P. (2010). On the validity of the bootstrap in
nonparametric functional regression. Scand. J. Statist., 37, 286-306.
58. Teodorescu, B., Van Keilegom, I. and Cao, R. (2010). Generalized conditional linear
models under left truncation and right censoring. Ann. Inst. Statist. Math., 62,
465-485.
57. Heuchenne, C. and Van Keilegom, I. (2010). Estimation in nonparametric location-scale
regression models with censored data. Ann. Inst. Statist. Math., 62, 439-464.
56. Crujeiras, R.M. and Van Keilegom, I. (2010). Least squares estimation of nonlinear
spatial trends. Comput. Statist. Data Anal., 54, 452-465.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 11
55. Neumeyer, N. and Van Keilegom, I. (2010). Estimating the error distribution in non-
parametric multiple regression with applications to model testing. J. Multiv. Anal.,
101, 1067-1078.
54. Van Keilegom, I. and Wang, L. (2010). Semiparametric modeling and estimation of
heteroscedasticity in regression analysis of cross-sectional data. Electr. J. Statist., 4,
133-160.
53. Braekers, R. and Van Keilegom, I. (2009). Flexible modeling based on copulas in non-
parametric regression. J. Multiv. Anal., 6, 1270-1281.
52. Chen, S.X. and Van Keilegom, I. (2009). A goodness-of-fit test for parametric and
semiparametric models in multiresponse regression. Bernoulli, 15, 955-976.
51. Chen, S.X. and Van Keilegom, I. (2009). Rejoinder on : A review on empirical likelihood
methods for regression. TEST, 18, 468-474.
50. Chen, S.X. and Van Keilegom, I. (2009). A review on empirical likelihood methods for
regression. TEST, 18, 415-447.
49. El Ghouch, A. and Van Keilegom, I. (2009). Local linear quantile regression with de-
pendent censored data. Statist. Sinica, 19, 1621-1640.
48. Dette, H., Pardo-Fernandez, J.C. and Van Keilegom, I. (2009). Goodness-of-fit tests
for multiplicative models with dependent data. Scand. J. Statist., 36, 782-799.
47. Hall, P. and Van Keilegom, I. (2009). Nonparametric “regression” when errors are
positioned at endpoints. Bernoulli, 15, 614-633.
46. Neumeyer, N. and Van Keilegom, I. (2009). Change-point tests for the error distribution
in nonparametric regression. Scand. J. Statist., 36, 518-541.
45. Molanes-Lopez, E., Van Keilegom, I. and Veraverbeke, N. (2009). Empirical likelihood
for non-smooth criterion functions. Scand. J. Statist., 36, 413-432.
44. Hjort, N.L., McKeague, I.W. and Van Keilegom, I. (2009). Extending the scope of
empirical likelihood. Ann. Statist., 37, 1079-1111.
43. Ojeda-Cabrera, J. and Van Keilegom, I. (2009). Goodness-of-fit tests for parametric
regression with selection biased data. J. Statist. Plann. Infer., 139, 2836-2850.
42. Wang, L., Akritas, M.G. and Van Keilegom, I. (2008). An ANOVA-type nonparametric
diagnostic test for heteroscedastic regression models. J. Nonparam. Statist., 20, 365-
382.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 12
41. Van Keilegom, I., Gonzalez Manteiga, W. and Sanchez Sellero, C. (2008). Goodness-
of-fit tests in parametric regression based on the estimation of the error distribution.
TEST, 17, 401-415.
40. El Ghouch, A. and Van Keilegom, I. (2008). Nonparametric regression with dependent
censored data. Scand. J. Statist., 35, 228-247.
39. Einmahl, J. and Van Keilegom, I. (2008). Tests for independence in nonparametric
regression. Statist. Sinica, 18, 601-616.
38. Van Keilegom, I., Sanchez Sellero, C. and Gonzalez Manteiga, W. (2008). Empirical
likelihood based testing for regression Electr. J. Statist., 2, 581-604.
37. Linton, O., Sperlich, S. and Van Keilegom, I. (2008). Estimation of a semiparametric
transformation model. Ann. Statist., 36, 686-718.
36. Einmahl, J. and Van Keilegom, I. (2008). Specification tests in nonparametric regression.
J. Econometrics, 143, 88-102.
35. Dette, H., Neumeyer, N. and Van Keilegom, I. (2007). A new test for the parametric
form of the variance function in nonparametric regression. J. Royal Statist. Soc. -
Series B, 69, 903-917.
34. Hall, P. and Van Keilegom, I. (2007). Two-sample tests in functional data analysis
starting from discrete data. Statist. Sinica, 17, 1511-1532.
33. Pardo-Fernandez, J.C., Van Keilegom, I. and Gonzalez-Manteiga, W. (2007). Goodness-
of-fit tests for parametric models in censored regression. Canad. J. Statist., 35, 249-
264.
32. Pardo-Fernandez, J.C., Van Keilegom, I. and Gonzalez-Manteiga, W. (2007). Testing
for the equality of k regression curves. Statist. Sinica, 17, 1115-1137.
31. Heuchenne, C. and Van Keilegom, I. (2007). Nonlinear regression with censored data.
Technometrics, 49, 34-44.
30. Heuchenne, C. and Van Keilegom, I. (2007). Location estimation in nonparametric
regression with censored data. J. Multiv. Anal., 98, 1558-1582.
29. Van Keilegom, I. and Carroll, R.J. (2007). Backfitting versus profiling in general criterion
functions. Statist. Sinica, 17, 797-816.
28. Heuchenne, C. and Van Keilegom, I. (2007). Polynomial regression with censored data
based on preliminary nonparametric estimation. Ann. Instit. Statist. Math., 59, 273-
298.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 13
27. Wang, L. and Van Keilegom, I. (2007). Nonparametric test for the form of parametric
regression with time series errors. Statist. Sinica, 17, 369-386.
26. Denuit, M., Purcaru, O. and Van Keilegom, I. (2006). Bivariate Archimedean copula
models for censored data in non-life insurance. J. Actuar. Pract., 13, 5-32.
25. Pardo-Fernandez, J.C. and Van Keilegom, I. (2006). Comparison of regression curves
with censored responses. Scand. J. Statist., 33, 409-434.
24. Cao, R. and Van Keilegom, I. (2006). Empirical likelihood tests for two-sample problems
via nonparametric density estimation. Canad. J. Statist., 34, 61-77.
23. Sanchez Sellero, C., Gonzalez Manteiga, W. and Van Keilegom, I. (2005). Uniform
representation of product-limit integrals with applications. Scand. J. Statist., 32, 563-
581.
22. Brouhns, N., Denuit, M. and Van Keilegom, I. (2005). Bootstrapping the Poisson
log-bilinear model for mortality forecasting. Scand. Actuar. J., 212-224.
21. Hall, P. and Van Keilegom, I. (2005). Testing for monotone increasing hazard rate.
Ann. Statist., 33, 1109-1137.
20. Van Keilegom, I. (2004). A note on the nonparametric estimation of the bivariate
distribution under dependent censoring. J. Nonpar. Statist., 16, 659-670.
19. Chen, X., Linton, O. and Van Keilegom, I. (2003). Estimation of semiparametric models
when the criterion function is not smooth. Econometrica, 71, 1591-1608.
18. Claeskens, G. and Van Keilegom, I. (2003). Bootstrap confidence bands for regression
curves and their derivatives. Ann. Statist., 31, 1852-1884.
17. Tilquin, P., Van Keilegom, I., Coppieters, W., Le Boulenge, E. and Baret, P.V. (2003).
Non-parametric interval mapping in half-sib designs : use of midranks to account for
ties. Genetical Research, 81, 221-228.
16. Du, Y., Akritas, M. G. and Van Keilegom, I. (2003). Nonparametric analysis of covari-
ance for censored data. Biometrika, 90, 269-287.
15. Akritas, M. G. and Van Keilegom, I. (2003). Estimation of the bivariate and marginal
distributions with censored data. J. Royal Statist. Soc. - Series B, 65, 457-471.
14. Hall, P. and Van Keilegom, I. (2003). Using difference-based methods for inference in
nonparametric regression with time-series errors. J. Royal Statist. Soc. - Series B, 65,
443-456.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 14
13. Van Keilegom, I. and Veraverbeke, N. (2002). Density and hazard estimation in censored
regression models. Bernoulli, 8, 607-625.
12. Li, G. and Van Keilegom, I. (2002). Likelihood ratio confidence bands in nonparametric
regression with censored data. Scand. J. Statist., 29, 547-562.
11. Van Keilegom, I. and Hettmansperger, T. P. (2002). Inference on multivariate M -
estimators based on bivariate censored data. J. Amer. Statist. Assoc., 97, 328-336.
10. Van Keilegom, I. and Veraverbeke, N. (2001). Hazard rate estimation in nonparametric
regression with censored data. Ann. Inst. Statist. Math., 53, 730-745.
9. Akritas, M. G. and Van Keilegom, I. (2001). Nonparametric estimation of the residual
distribution. Scand. J. Statist., 28, 549-568.
8. Akritas, M. G. and Van Keilegom, I. (2001). Nonparametric ANCOVA methods for
heteroscedastic nonparametric regression models. J. Amer. Statist. Assoc., 96, 220-
232.
7. Van Keilegom, I., Akritas, M. G. and Veraverbeke, N. (2001). Estimation of the con-
ditional distribution in regression with censored data : a comparative study. Comput.
Statist. Data Anal., 35, 487-500.
6. Van Keilegom, I. and Akritas, M. G. (2000). The least squares method in heteroscedastic
censored regression models. In : Asymptotics in Statistics and Probability, Ed. M.L.
Puri, VSP, 379-391.
5. Van Keilegom, I. and Akritas, M. G. (1999). Transfer of tail information in censored
regression models. Ann. Statist., 27, 1745-1784.
4. Van Keilegom, I. and Veraverbeke, N. (1998). Bootstrapping quantiles in a fixed design
regression model with censored data. J. Statist. Planning Inf., 69, 115-131.
3. Van Keilegom, I. and Veraverbeke, N. (1997). Weak convergence of the bootstrapped
conditional Kaplan-Meier process and its quantile process. Commun. Statist.-Theory
Meth., 26, 853-869.
2. Van Keilegom, I. and Veraverbeke, N. (1997). Estimation and bootstrap with censored
data in fixed design nonparametric regression. Ann. Inst. Statist. Math., 49, 467-491.
1. Van Keilegom, I. and Veraverbeke, N. (1996). Uniform strong convergence results for
the conditional Kaplan-Meier estimator and its quantiles. Commun. Statist.-Theory
Meth., 25, 2251-2265.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 15
Papers under revision
4. Portier, F., Van Keilegom, I. and El Ghouch, A. On an extension of the promotion time
cure model (under revision for Ann. Statist.).
3. Zhao, Y., Gijbels, I. and Van Keilegom, I. Gaussian copulas adjusted for non- and semi-
parametric regression (under revision for Ann. Statist.).
2. Florez, A.J., Van Keilegom, I., Molenberghs, G. and Verhasselt, A. Quantile regres-
sion for longitudinal data via the multivariate generalized hyperbolic distribution (under
revision for Statist. Modelling).
1. Musta, E. and Van Keilegom, I. A simulation-extrapolation approach for the mixture
cure model with mismeasured covariates (under revision for Electr. J. Statist.).
Submitted papers
12. Fanjul-Hevia, A., Pardo-Fernandez, J.C., Van Keilegom, I. and Gonzalez-Manteiga, W.
A test for comparing conditional ROC curves with multidimensional covariates.
11. Kreiss, A. and Van Keilegom, I. Semi-parametric estimation of incubation and generation
times by means of Laguerre polynomials.
10. Jeon, J.M., Park, B. and Van Keilegom, I. Nonparametric regression on Lie groups with
measurement errors.
9. Akca, E. and Van Keilegom, I. Estimation of the variance matrix in bivariate classical
measurement error models.
8. Parsa, M. and Van Keilegom, I. Accelerated failure time vs Cox proportional hazards
mixture cure models: David vs Goliath?
7. Musta, E., Patilea, V. and Van Keilegom, I. A presmoothing approach for estimation in
mixture cure models.
6. Gonzalez Manteiga, W., Martınez Miranda, M.D. and Van Keilegom, I. Goodness-of-fit
tests in proportional hazards models with random effects.
5. Oulhaj, A., Ahmed, L.A., Prattes, J., Suliman, A., Alsuwaidi, A.R., Al-Rifai, R.H., Sourij,
H. and Van Keilegom, I. The competing risk between in-hospital mortality and recovery:
A pitfall in COVID-19 survival analysis research.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 16
4. Escobar-Bach, M. and Van Keilegom, I. Nonparametric estimation of conditional cure
models for heavy-tailed distributions and under insufficient follow-up.
3. Zhao, Y., Van Keilegom, I. and Ding, S. Envelopes for censored quantile regression.
2. Verhasselt, A., Florez, A.J., Van Keilegom, I. and Molenberghs, G. The impact of
incomplete data on quantile regression for longitudinal data.
1. Daouia, A. and Van Keilegom, I. A random locational M-estimation problem based on
the L2-Wasserstein distance.
Books
1. Van Keilegom, I. and Wilson, P.W. (2012). Exploring Research Frontiers in Contem-
porary Statistics and Econometrics - Festschrift in Honor of L. Simar. Springer,
New York.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 17
3 Scientific presentations
Invited and keynote presentations
100. 8th Days of Econometrics for Finance (JEF2021) (virtual), 5-6 March 2021 : ‘Instru-
mental variables in duration models’ (keynote).
99. NESG 2020 conference (virtual), Tilburg, Netherlands, 15 May 2020 : ‘Estimation of
the boundary of a variable observed with symmetric error’.
98. XIV Congreso Galego de Estatıstica e Investigacion de Operacions, Vigo, Spain, 24-26
October 2019 : ‘On semiparametric modelling, estimation and inference for survival data
subject to dependent censoring’ (keynote).
97. 24th Workshop on Goodness-of-fit and change-point problems, Trento, Italy, 6-8 Septem-
ber 2019 : ‘Bootstrap of residual processes in regression: to smooth or not to smooth ?’.
96. 2019 Lifetime Data Science Conference, Pittsburgh, USA, 29 - 31 May 2019 : ‘A multi-
variate normal regression model for survival data subject to different types of dependent
censoring’.
95. Workshop on Incomplete Data, Hasselt University, Belgium, 11 January 2019 : ‘Flexible
parametric model for survival data subject to dependent censoring’.
94. CMStatistics conference 2018, Pisa, Italy, 14-16 December 2018 : ‘Goodness-of-fit tests
in proportional hazards models with random effects’.
93. CMStatistics conference 2018, Pisa, Italy, 14-16 December 2018 : ‘Flexible parametric
model for survival data subject to dependent censoring’.
92. Trondheim Symposium in Statistics, Trondheim, Norway, 28-29 September 2018 : ‘Flex-
ible parametric model for survival data subject to dependent censoring’.
91. Joint Statistical Meetings, Vancouver, Canada, 29 July - 2 August 2018 : ‘Estimation
of the boundary of a variable observed with symmetric error’.
90. Joint Statistical Meetings, Vancouver, Canada, 29 July - 2 August 2018 : ‘Goodness-
of-fit tests in proportional hazards models with random effects’.
89. 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), Na-
tional University of Singapore, Singapore, 26-29 June 2018 : ‘Goodness-of-fit tests in
proportional hazards models with random effects’ (distinguished).
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 18
88. 4th Conference of the International Society of Nonparametric Statistics, Salerno, Italy,
11-15 June 2018 : ‘Goodness-of-fit tests in proportional hazards models with random
effects’.
87. 50th Anniversary of the Department of Statistics of Penn State University, USA, 8-10
May 2018 : ‘Estimation of the boundary of a variable observed with symmetric error’.
86. Closing workshop of the Research Unit FOR 1735 on “Structural Inference in Statistics:
Adaptation and Efficiency”, Berlin, Germany, 8-9 March 2018 : ‘Estimation of the
boundary of a variable observed with symmetric error’.
85. CMStatistics conference 2017, London, UK, 16-18 December 2017 : ‘Estimation of the
boundary of a variable observed with symmetric error’ (special invited).
84. First Spanish Young Statisticians and Operational Researchers Meeting (SYSORM),
Granada, Spain, 13-15 November 2017 : ‘Estimation of the boundary of a variable
observed with symmetric error’ (keynote).
83. Joint Statistical Meetings, Baltimore, USA, 30 July - 3 August 2017 : ‘Flexible para-
metric approach to classical measurement error variance estimation without auxiliary
data’.
82. 1st International Conference on Econometrics and Statistics (EcoSta 2017), Hong Kong
University of Science and Technology, Hong Kong, 15-17 June 2017 : ‘Estimation in
measurement error problems under minimal conditions on the distribution of the signal
and the noise’ (special invited)
81. Meeting in Econometrics, Toulouse, France, 30 May - 1 June May 2017 : ‘Estimation in
measurement error problems under minimal conditions on the distribution of the signal
and the noise’
80. 25th Anniversary of the Institute of Statistics, Biostatistics and Actuarial Sciences,
Louvain-la-Neuve, Belgium, 18-19 May 2017 : ‘In memory of Peter Hall’.
79. 9th International ERCIM Conference (CMStatistics 2016), Sevilla, Spain, 9-11 December
2016 : ‘The focused information criterion for a mixture cure model’
78. Leuven Statistics Days, Leuven, Belgium, 20-21 October 2016 : ‘The focused informa-
tion criterion for a mixture cure model’
77. Workshop on ‘Nonparametric Statistics : Integration of Theory, Methods and Appli-
cations’, University of Michigan, Ann Arbor, USA, 6-7 October 2016 : ‘The focused
information criterion for a mixture cure model’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 19
76. Workshop on ‘Newest Developments and Urgent Issues in Measurement Error and Latent
Variable Problems’, Banff, Canada, 15-19 August 2016 : ‘Boundary estimation in the
presence of measurement error with unknown distribution’
75. Workshop on ‘Newest Developments and Urgent Issues in Measurement Error and Latent
Variable Problems’, Banff, Canada, 15-19 August 2016 : ‘Boundary estimation in the
presence of measurement error with unknown variance’
74. 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), The
Chinese University of Hong Kong, Hong Kong, 27-30 June 2016 : ‘Wilks’ phenomenon
in two-step semiparametric empirical likelihood inference’
73. 3rd Conference of the International Society of Nonparametric Statistics, Avignon, France,
11-16 June 2016 : ‘Wilks’ phenomenon in two-step semiparametric empirical likelihood
inference’
72. Student Workshop at Toulouse School of Economics, France, 2 June 2016 : Discussion
of ‘Confidence sets in ill-posed models’ by Andrii Babii
71. Workshop on ‘Focused Information Criteria and Related Themes’, University of Oslo,
Norway, 9-11 May 2016 : ‘The focused information criterion for a mixture cure model’
70. Workshop at Aalto University, Finland, 7 April 2016 : ‘Wilks’ phenomenon in two-step
semiparametric empirical likelihood inference’
69. Workshop on ‘New Developments in Functional and Highly Multivariate Statistical
Methodology’, Oberwolfach, Germany, 22-26 February 2016 : ‘Wilks’ phenomenon in
two-step semiparametric empirical likelihood inference’
68. 8th International ERCIM Conference (CMStatistics 2015), London, UK, 12-14 December
2015 : ‘Testing parametric models in linear-directional regression’
67. Annual meeting of the Belgian Statistical Society, Antwerp, Belgium, 15-16 October
2015 : ‘Wilks’ phenomenon in two-step semiparametric empirical likelihood inference’
66. Conference on ‘Inverse Problems in Econometrics’, Northwestern University, USA, 2-3
October 2015 : ‘Frontier estimation in the presence of measurement error with unknown
variance’
65. 2nd Workshop on Goodness-of-fit and change-point problems, Athens, Greece, 4-6
September 2015 : ‘Wilks’ phenomenon in two-step semiparametric empirical likelihood
inference’
64. 30th European Meeting of Statisticians, Amsterdam, Netherlands, 6-10 July 2015 :
‘Wilks’ phenomenon in two-step semiparametric empirical likelihood inference’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 20
63. Workshop on the Econometrics and Statistics of Efficiency Analysis: Recent Develop-
ments and Perspectives, Lecce, Italy, 20-21 June 2015 : ‘Frontier estimation in the
presence of measurement error with unknown variance’ (keynote)
62. Annual workshop of the IAP network in statistics, Brussels, Belgium, 24 November 2014 :
‘Dynamics of a stochastic system and the impact of non-observed characteristics’
61. Joint Statistical Meetings, Boston, USA, 3 - 7 August 2014 : ‘The focused information
criterion for a mixture cure model’
60. Joint Statistical Meetings, Boston, USA, 3 - 7 August 2014 : ‘Semiparametric condi-
tional quantile estimation through copula-based multivariate models’ (special invited)
59. ASC-IMS 2014 Conference, Sydney, Australia, 7-10 July 2014 : ‘Varying coefficient
models having different smoothing variables with randomly censored data’
58. Workshop on ‘Challenges and advances in analysis of complex high dimensional data’,
Taichung, Taiwan, 4-5 July 2014 : ‘Inference in a survival cure model with mismeasured
covariates using the SIMEX approach’
57. 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), Taipei,
Taiwan, 30 June-3 July 2014 : ‘Varying coefficient models having different smoothing
variables with randomly censored data’
56. 2nd Conference of the International Society of Nonparametric Statistics, Cadiz, Spain,
12-16 June 2014 : ‘Varying coefficient models having different smoothing variables with
randomly censored data’
55. Conference on ‘Non and semiparametric econometrics’, University of York, 15-16 May
2014 : ‘Estimation of conditional ranks and tests of exogeneity in nonparametric non-
separable models’ (keynote)
54. 6th International ERCIM Conference, London, UK, 14-16 December 2013 : ‘The SIMEX
method for correcting the bias in a survival cure model with mismeasured covariates’
53. International Year of Statistics Conference, Luxembourg, 26-27 November 2013 : ‘The
SIMEX method for correcting the bias in a survival cure model with mismeasured co-
variates’ (keynote)
52. International Hexa-Symposium on Biostatistics, Bioinformatics, and Epidemiology, Has-
selt, Belgium, 14-15 November 2013 : ‘The SIMEX method for correcting the bias in a
survival cure model with mismeasured covariates’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 21
51. Conference on ‘Applicable semiparametrics’, Humboldt Universitat Berlin, 11-12 Octo-
ber 2013 : ‘The SIMEX method for correcting the bias in a survival cure model with
mismeasured covariates’
50. 29th European Meeting of Statisticians, Budapest, Hungary, 20-25 July 2013 : ‘Estima-
tion of conditional ranks and tests of exogeneity in nonparametric nonseparable models’
49. Annual workshop of the IAP network in statistics, Leuven, Belgium, 28-29 March 2013 :
Introduction to ‘Dynamics of a stochastic system and the impact of non-observed char-
acteristics’
48. International Conference on ‘Statistics, science, and society: new challenges and op-
portunities’, Chennai, India, 2-5 January 2013 : ‘Semiparametric transformation model
with endogeneity: a control function approach’
47. Conference on ’Recent Developments in Econometrics’ for Celebrating the 65th Birth-
day of Jean-Pierre Florens, Toulouse, France, 28-29 September 2012 : ‘Estimation of
conditional ranks and tests of exogeneity in nonparametric nonseparable models’
46. 6th PhD Day of the Graduate School in Statistics, Biostatistics and Actuarial Sciences,
Louvain-la-Neuve, Belgium, 14 September 2012 : ‘Dos and don’ts in academic writing:
surviving the peer review process’
45. 20th International Conference on Computational Statistics (COMPSTAT), Limassol,
Cyprus, 27-31 August 2012 : ‘Identifiability of joint distributions in bivariate competing
risks models’
44. International Conference on Robust Statistics (ICORS), University of Vermont, Burling-
ton, USA, 5-10 August 2012 : ‘Quality of fit measures in the framework of quantile
regression’
43. Joint Statistical Meetings, San Diego, USA, 29 July - 2 August 2012 : ‘Identifiability of
joint distributions in bivariate competing risks models’
42. Waseda Statistical Symposium on Time Series and Related Topics, Waseda University,
Tokyo, Japan, 5-7 July 2012 : ‘Boundary estimation in the presence of measurement
error with unknown variance’
41. 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), Tsukuba,
Japan, 2-4 July 2012 : ‘Semiparametric transformation model with endogeneity: a con-
trol function approach’
40. 8th International Purdue Symposium on Statistics, Purdue University, West Lafayette,
USA, 20-24 June 2012 : ‘Boundary estimation in the presence of measurement error
with unknown variance’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 22
39. 1st Conference of the International Society for Nonparametric Statistics, Chalkidiki,
Greece, 15-19 June 2012 : ‘Boundary estimation in the presence of measurement error
with unknown variance’ (keynote)
38. 1st Joint Conference of the Belgian, Royal Spanish and Luxembourg Mathematical So-
cieties, Liege, Belgium, 6-8 June 2012 : ‘Estimation in nonparametric location-scale
models under dependent censoring’
37. 44e Journees de Statistique, Bruxelles, Belgium, 21-25 May 2012 : ‘Boundary estimation
in the presence of measurement error with unknown variance’ (keynote)
36. 4th International ERCIM Conference, London, UK, 17-19 December 2011 : ‘A nonpara-
metric test for risk-return relationships’
35. Joint Statistical Meetings, Miami Beach, USA, 30 July - 4 August 2011 : ‘Semi-
parametric estimation in a single index model with endogenous variables’
34. Conference on ‘Efficiency measurement: New methods and application to the food
sector’, Toulouse, France, 27-28 June 2011 : ‘Frontier estimation in nonparametric
location-scale models’
33. Graybill 2011 Conference on ‘Modern nonparametric methods’, Fort Collins, USA, 22-24
June 2011 : ‘Boundary estimation in the presence of measurement error with unknown
variance’ (keynote)
32. 14th Applied Stochastic Models and Data Analysis (ASMDA) conference, Rome, Italy,
6-10 June 2011 : ‘The copula-graphic estimator of the survival function under dependent
censoring with unknown copula’
31. International symposium on ‘Recent Advances in Statistics and Probability’ in honor of
Noel Veraverbeke, Hasselt, Belgium, 19-20 May 2011 : ‘The copula-graphic estimator
of the survival function under dependent censoring with unknown copula’
30. Stochastics Meeting Lunteren, The Netherlands, 15-17 November 2010 : ‘Z-estimation
in semiparametric statistics: general theory’ and ‘Z-estimation in semiparametric statis-
tics: applications in various fields’ (keynote)
29. Prague Stochastics 2010, Prague, Czech Republic, 30 August - 3 September 2010 :
‘Goodness-of-fit tests for multiplicative models with dependent data’
28. 23rd Nordic Conference on Mathematical Statistics (NORDSTAT), Voss, Norway, 14-17
June 2010 : ‘Goodness-of-fit tests for the relation between the regression function and
the scale function with dependent data’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 23
27. Annual workshop of the IAP network in statistics, Leuven, Belgium, 19-20 November
2009 : ‘Univariate frontier estimation in the presence of measurement error’
26. The 57th Session of the International Statistical Institute, Durban, South Africa, 16-22
August 2009 : ‘Estimation in semiparametric models with missing data’
25. 27th European Meeting of Statisticians, Toulouse, France, 20-24 July 2009 : ‘Estimation
in semiparametric models with missing data’
24. First Institute of Mathematical Statistics Asia Pacific Rim Meeting, Seoul, South Korea,
28 June - 1 July 2009 : ‘Estimation in semiparametric models with missing data’
23. Workshop on ‘Semiparametric and Nonparametric Methods in Econometrics’, Banff,
Canada, 5-10 April 2009 : ‘Semiparametric modeling and estimation of the dispersion
function in regression’
22. ‘Celebration 20th Anniversary Master of Biostatistics’, Universiteit Hasselt, Belgium,
10-11 September 2008 : ‘Semiparametric modeling and estimation of the dispersion
function in regression’
21. Joint Meeting of the Statistical Society of Canada and the Societe Francaise de Statis-
tique, Ottawa, Canada, 25-29 May 2008 : ‘Empirical likelihood for non-smooth criterion
functions’
20. Workshop on ‘Reassessing the Paradigms of Statistical Model Building’, Oberwolfach,
Germany, 22-26 October 2007 : ‘Flexible modeling based on copulas in nonparametric
regression’
19. Joint Statistical Meetings, Salt Lake City, USA, 29 July-2 August 2007 : ‘A goodness-
of-fit test for parametric and semiparametric models in multiresponse regression’
18. ‘5e Journees de Statistique Fonctionnelle et Operatorielle’, Lille, France, 21-22 June
2007 : ‘On the use of the bootstrap in nonparametric functional regression’
17. Doctoral workshop in economics, Universite catholique de Louvain, Belgium, 25 May
2007 : Discussion of ‘The lagged duration dependence for young long-term unemployed
workers in Belgium’ by Matteo Picchio
16. First Joint Statistical Meeting of the ‘Deutsche Arbeitsgemeinschaft Statistik’, Biele-
feld, Germany, 27-30 March 2007 : ‘Change-point tests for the error distribution in
nonparametric regression’
15. Workshop on ‘Semiparametric and Nonparametric Methods in Econometrics’, Oberwol-
fach, Germany, 19-23 March 2007 : ‘Estimation of a semiparametric transformation
model’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 24
14. Workshop on ‘Qualitative Assumptions and Regularization in High-Dimensional Statis-
tics’, Oberwolfach, Germany, 5-11 November 2006 : ‘A goodness-of-fit test for semi-
parametric models and models with shape constraints in multiresponse regression’
13. Workshop on ‘Nonparametric Statistics’, Rennes, France, 26-27 October 2006 : ‘Change-
point tests for the error distribution in nonparametric regression’
12. ‘Journees d’Etude en Statistique’ on ‘Nonparametric approaches in regression’, Marseille-
Luminy, France, 9-13 October 2006 : ‘Donnees censurees’
11. XXVI European Meeting of Statisticians, Torun, Poland, 24-28 July 2006 : ‘Estimation
of a semiparametric transformation model’
10. Workshop on ‘Specification testing’, Santander, Spain, 16-18 December 2005 : ‘Empir-
ical likelihood test for a class of regression models’
9. Workshop on ‘Statistische und Probabilistische Methoden der Modellwahl’, Oberwol-
fach, Germany, 16-22 October 2005 : ‘Tests for the variance function in nonparametric
regression’
8. International Seminar on Nonparametric Inference, La Coruna, Spain, 13-15 July 2005 :
‘Tests for the variance function in nonparametric regression’
7. Second International Statistics Workshop, Seoul, South-Korea, 15-16 June 2005 : ‘Back-
fitting versus profiling in general criterion functions’
6. Third Prague-Brussels Mathematical Statistics Seminar, Brussels, Belgium, 13-14 May
2005 : ‘Backfitting versus profiling in general criterion functions’
5. Joint Statistical Meetings, Toronto, Canada, 8-12 August 2004 : ‘Comparison of density
functions via empirical likelihood’
4. Conference in Probability Theory and Mathematical Statistics dedicated to the Centenary
of A. N. Kolmogorov, Tbilisi, Georgia, 21-27 September 2003 : ‘Empirical likelihood in
some non-standard settings’
3. International Conference on Current Advances and Trends in Nonparametric Statistics,
Crete, Greece, 15-19 July 2002 : ‘Confidence bands for regression curves and their
derivatives’
2. Tenth International Symposium on Applied Stochastic Models and Data Analysis, Compiegne,
France, 12-15 June 2001 : ‘Estimation of the bivariate and marginal distributions with
censored data’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 25
1. European Young Statisticians Meeting 1995, Rotterdam, The Netherlands, 14-18 August
1995 : ‘A generalization of the Kaplan-Meier estimator and the bootstrap in censored
data regression’
Contributed presentations
15. 45e Journees de Statistique, Toulouse, France, 27-31 May 2013 : ‘Estimation of condi-
tional ranks and tests of exogeneity in nonparametric nonseparable models’
14. 28th European Meeting of Statisticians, Piraeus, Greece, 17-22 August 2010 : ‘Goodness-
of-fit tests for multiplicative models with dependent data’
13. 7th World Congress in Probability and Statistics, Singapore, 14-19 July 2008 : ‘Empirical
likelihood for non-smooth criterion functions’
12. 6th World Congress of the Bernoulli Society, Barcelona, Spain, 26-31 July 2004 : ‘Em-
pirical likelihood based goodness-of-fit testing for parametric regression’
11. Joint Statistical Meetings, San Francisco, U.S.A., 3-7 August 2003 : ‘Empirical likelihood
in some non-standard settings’
10. Workshop on Statistical Inference, Diepenbeek, Belgium, 10-12 April 2000 : ‘Likelihood
ratio confidence bands with censored data’
9. Annual meeting of the Belgian Statistical Society, Nieuwpoort, Belgium, 7-8 October
1999 : ‘Inference on the bivariate L1 median with censored data’
8. Joint Statistical Meetings, Baltimore, U.S.A., 8-12 August 1999 : ‘Nonparametric meth-
ods for analysis of covariance’
7. New Researchers Conference, Baltimore, U.S.A., 4-7 August 1999 : ‘Nonparametric esti-
mation of the conditional density and hazard under two regression models with censored
data’
6. 4th Hungarian Colloquium on Limit Theorems of Probability and Statistics, Balatonlelle,
Hungary, 28 June - 2 July 1999 : ‘Nonparametric estimation of the conditional density
and hazard under two regression models with censored data’
5. ISI-Satellite Meeting ‘Mathematical Statistics and its Applications to Biosciences’, Ros-
tock, Germany, 31 August - 4 September 1997 : ‘Estimation of the tail of the conditional
distribution in censored regression models’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 26
4. Workshop ‘The Art of Nonparametric Statistics : Methodologies and Applications’,
Universite catholique de Louvain, Louvain-la-Neuve, Belgium, 19-21 February 1997 :
‘Transfer of tail information for censored regression models’ (poster)
3. 4th World Congress of the Bernoulli Society, Vienna, Austria, 26-31 August 1996 :
‘Asymptotic properties of a quantile estimator in a regression model with censored data’
2. Annual meeting of the Belgian Statistical Society, Houthalen, Belgium, 13-14 October
1995 : ‘The bootstrap in nonparametric regression with censored data’
1. Week of Doctoral Students 1995, Prague, Czech Republic, 18-22 September 1995 :
‘Nonparametric estimation and bootstrap in regression with censored data’
Seminars
130. Department of economics, University of Wisconsin, Madison, 19 March 2021 : ‘Instru-
mental variables in duration models’ (virtual)
129. Department of statistics, Instituto Technologico Autonomo de Mexico, 12 February
2021 : ‘On a semiparametric estimation method for AFT mixture cure models’ (virtual)
128. Toulouse School of Economics, University of Toulouse I, 15 September 2020 : ‘On a
semiparametric estimation method for AFT mixture cure models’ (virtual)
127. Weierstrass Institute & Humboldt-Universitat zu Berlin, 3 June 2020 : ‘On a semipara-
metric estimation method for AFT mixture cure models’ (virtual)
126. Department of mathematics, Technische Universitat Munchen, 11 March 2020 : ‘On a
semiparametric estimation method for AFT mixture cure models’
125. Department of statistics and actuarial science, Stellenbosch University, South Africa, 28
February 2020 : ‘On semiparametric modelling, estimation and inference for survival
data subject to dependent censoring’
124. School of mathematical and statistical sciences, University of Potchefstroom, South
Africa, 20 February 2020 : ‘On semiparametric modelling, estimation and inference for
survival data subject to dependent censoring’
123. Department of statistics, University of Santiago de Compostela, 10 December 2019 :
‘On a semiparametric estimation method for AFT mixture cure models’
122. CenStat, Universiteit Hasselt, 22 November 2019 : ‘On a semiparametric estimation
method for AFT mixture cure models’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 27
121. Toulouse School of Economics, University of Toulouse I, 10 October 2019 : ‘Bootstrap
of residual processes in regression: to smooth or not to smooth ?’
120. Department of mathematics, University of Heidelberg, 26 September 2019 : ‘Bootstrap
of residual processes in regression: to smooth or not to smooth ?’
119. College of business and economics, Australian National University, Canberra, 8 February
2019 : ‘Flexible parametric model for survival data subject to dependent censoring’
118. School of mathematics and statistics, University of Melbourne, 30 January 2019 : ‘Flex-
ible parametric model for survival data subject to dependent censoring’
117. Department of statistics, Universitat Dortmund, 18 December 2018 : ‘Flexible paramet-
ric model for survival data subject to dependent censoring’
116. Department of economics, Carlos III University, Madrid, 19 November 2018 : ‘Estimation
in measurement error problems under minimal conditions on the distribution of the signal
and the noise’
115. Department of statistics, Carlos III University, Madrid, 16 November 2018 : ‘Flexible
parametric model for survival data subject to dependent censoring’
114. Toulouse School of Economics, University of Toulouse I, 9 October 2018 : ‘Flexible
parametric model for survival data subject to dependent censoring’
113. Department of mathematics, University of Oslo, 1 October 2018 : ‘Flexible parametric
model for survival data subject to dependent censoring’
112. Department of mathematics, University of Heidelberg, 4 May 2017 : ‘Estimation in
measurement error problems under minimal conditions on the distribution of the signal
and the noise’
111. Department of statistics, University of Santiago de Compostela, 27 April 2017 : ‘Esti-
mation in measurement error problems under minimal conditions on the distribution of
the signal and the noise’
110. ORSTAT, KU Leuven, 30 March 2017 : ‘Estimation in measurement error problems
under minimal conditions on the distribution of the signal and the noise’
109. Department of economics, University of Bristol, 24 May 2016 : ‘The focused information
criterion for a mixture cure model’
108. Department of mathematics, Universite Libre de Bruxelles, 29 April 2016 : ‘Wilks’
phenomenon in two-step semiparametric empirical likelihood inference’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 28
107. Institute of mathematics, Swiss Federal Institute of Technology (EPFL), Lausanne, 17
March 2016 : ‘Wilks’ phenomenon in two-step semiparametric empirical likelihood in-
ference’
106. Department of statistics, University of Santiago de Compostela, 29 October 2015 :
‘Wilks’ phenomenon in two-step semiparametric empirical likelihood inference’
105. Toulouse School of Economics, University of Toulouse I, 12 December 2014 : ‘Wilks’
phenomenon in two-step semiparametric empirical likelihood inference’
104. Toulouse School of Economics, University of Toulouse I, 2 December 2014 : ‘Semipara-
metric conditional quantile estimation through copula-based multivariate models’
103. Department of economics, University of Geneve, 14 November 2014 : ‘Semiparametric
conditional quantile estimation through copula-based multivariate models’
102. ENSAI, Rennes, 5 November 2014 : ‘Semiparametric conditional quantile estimation
through copula-based multivariate models’
101. ESSEC, Paris, 22 October 2014 : ‘Semiparametric conditional quantile estimation
through copula-based multivariate models’
100. Research institute CentER, Tilburg University, 28 May 2014 : ‘Estimation of conditional
ranks and tests of exogeneity in nonparametric nonseparable models’
99. CenStat, Universiteit Hasselt, 20 May 2014 : ‘Varying coefficient models having different
smoothing variables with randomly censored data’
98. Toulouse School of Economics, University of Toulouse I, 11 April 2014 : ‘The SIMEX
method for correcting the bias in a split population duration model with mismeasured
covariates’
97. Toulouse School of Economics, University of Toulouse I, 25 March 2014 : ‘Estimation
of conditional ranks and tests of exogeneity in nonparametric nonseparable models’
96. Department of economics, Yale University, 24 February 2014 : ‘Frontier estimation in
the presence of measurement error with unknown variance’
95. Department of economics, Yale University, 19 February 2014 : ‘Estimation of conditional
ranks and tests of exogeneity in nonparametric nonseparable models’
94. ENSAI, Rennes, 24 January 2014 : ‘Estimation of conditional ranks and tests of exo-
geneity in nonparametric nonseparable models’
93. Laboratoire EQUIPPE, Universite Lille 3, 22 November 2013 : ‘The SIMEX method for
correcting the bias in a survival cure model with mismeasured covariates’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 29
92. Cass Business School, City University London, 20 November 2013 : ‘The SIMEX method
for correcting the bias in a survival cure model with mismeasured covariates’
91. Institute for Multidisciplinary Research in Quantitative Modelling and Analysis
(IMMAQ), Universite catholique de Louvain, 4 June 2013 : ‘Estimation of conditional
ranks and tests of exogeneity in nonparametric nonseparable models’
90. Department of statistics, University of Santiago de Compostela, 4 April 2013 : ‘Dos and
don’ts in academic writing: surviving the peer review process’
89. Department of mathematics, University of La Coruna, 3 April 2013 : ‘Estimation of
conditional ranks and tests of exogeneity in nonparametric nonseparable models’
88. Department of statistics, Purdue University, 7 March 2013 : ‘Estimation of conditional
ranks and tests of exogeneity in nonparametric nonseparable models’
87. Institute for Mathematical Stochastics, Georg August Universitat, Goettingen, 21 Novem-
ber 2012 : ‘Semiparametric transformation model with endogeneity: a control function
approach’
86. Department of mathematics, University of Hamburg, 30 October 2012 : ‘Frontier esti-
mation in nonparametric location-scale models’
85. Department of statistics, University of Santiago de Compostela, 12 April 2012 : ‘Esti-
mation in nonparametric location-scale models under dependent censoring’
84. Department of economics, University College London, 13 December 2011 : ‘Frontier
estimation in nonparametric location-scale models’
83. Department of statistics, London School of Economics, 9 December 2011 : ‘Boundary
estimation in the presence of measurement error with unknown variance’
82. Department of economics, Carlos III University, Madrid, 17 October 2011 : ‘Frontier
estimation in nonparametric location-scale models’
81. Statistical Laboratory, University of Cambridge, 7 October 2011 : ‘Boundary estimation
in the presence of measurement error with unknown variance’
80. Department of statistics, Universitat Dortmund, 15 March 2011 : ‘Semiparametric esti-
mation for dependent right-censoring with an unknown copula’
79. Department of economics and related studies, University of York, 1 December 2010 :
‘Nonparametric tests for risk-return relationships’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 30
78. Department of mathematics, University of La Coruna, 5 November 2010 : ‘The copula-
graphic estimator of the survival function under dependent censoring with unknown
copula’
77. Toulouse School of Economics, University of Toulouse I, 14 September 2010 : ‘Goodness-
of-fit tests for multiplicative models with dependent data’
76. Department of statistics, University of Vigo, 23 July 2010 : ‘Goodness-of-fit tests for
multiplicative models with dependent data’
75. Department of economics, Indiana University, 23 February 2010 : ‘Univariate frontier
estimation in the presence of measurement error’
74. Department of statistics, Texas A&M University, 18 February 2010 : ‘Univariate frontier
estimation in the presence of measurement error’
73. Department of statistics, University of Mannheim, 14 December 2009 : ‘Univariate
frontier estimation in the presence of measurement error’
72. Department of statistics, Oxford University, 3 December 2009 : ‘Univariate frontier
estimation in the presence of measurement error’
71. Department of statistics, Universite de Paris VI, 23 November 2009 : ‘Univariate frontier
estimation in the presence of measurement error’
70. Department of statistics, University of Vigo, 18 September 2009 : ‘Univariate frontier
estimation in the presence of measurement error’
69. Department of statistics, Carlos III University, Madrid, 28 May 2009 : ‘Semiparametric
modeling and estimation of the dispersion function in regression’
68. Einaudi Institute for Economics and Finance (EIEF), Rome, 2 April 2009 : ‘Semipara-
metric modeling and estimation of the dispersion function in regression’
67. Guanghua School of Management, Peking University, 23 February 2009 : ‘Semiparamet-
ric modeling and estimation of the dispersion function in regression’
66. Institute of statistics, Universite catholique de Louvain, 21 November 2008 : ‘Semipara-
metric modeling and estimation of the dispersion function in regression’
65. Research institute CentER, Tilburg University, 12 November 2008 : ‘Semiparametric
modeling and estimation of the dispersion function in regression’
64. Department of statistics, University of Paul Sabatier, Toulouse, 14 October 2008 :
‘Empirical likelihood for non-smooth criterion functions’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 31
63. Department of mathematics, University of Oslo, 19 August 2008 : ‘Empirical likelihood
for non-smooth criterion functions’
62. Department of statistics, Iowa State University, 12 November 2007 : ‘Flexible modeling
based on copulas in nonparametric regression’
61. Department of statistics, University of Mannheim, 26 September 2007 : ‘Flexible mod-
eling based on copulas in nonparametric regression’
60. Department of statistics, University of Santiago de Compostela, 12 June 2007 : ‘Esti-
mation of a semiparametric transformation model’
59. Department of statistics, University of Vigo, 6 June 2007 : ‘A goodness-of-fit test for
semiparametric models in multiresponse regression’
58. Department of statistics, University of Pau, 6 March 2007 : ‘Change-point tests for the
error distribution in nonparametric regression’
57. Department of statistics, University of Paul Sabatier, Toulouse, 5 March 2007 : ‘Change-
point tests for the error distribution in nonparametric regression’
56. Institute of statistics, University of Neuchatel, 19 December 2006 : ‘A goodness-of-fit
test for semiparametric models in multiresponse regression’
55. Department of mathematics, University of La Coruna, 10 July 2006 : ‘Change-point
tests for the error distribution in nonparametric regression’
54. Weierstrass Institute, Berlin, 5 July 2006 : ‘Estimation of a semiparametric transforma-
tion model’
53. ENSAI, Rennes, 10 March 2006 : ‘Estimation of a semiparametric transformation model’
52. Department of statistics, University of Vigo, 25 May 2006 : ‘Estimation of a semipara-
metric transformation model’
51. Department of biostatistics, Columbia University, 2 February 2006 : ‘Estimation of a
semiparametric transformation model’
50. Department of statistics, Iowa State University, 25 January 2006 : ‘Estimation of a
semiparametric transformation model’
49. Department of statistics, University of Minneapolis, 19 January 2006 : ‘Estimation of a
semiparametric transformation model’
48. Department of mathematics, University of Liege, 28 October 2005 : ‘Testing for the
variance function in nonparametric regression’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 32
47. Department of mathematics, Charles University, Prague, 10 October 2005 : ‘Testing for
the variance function in nonparametric regression’
46. Institute of statistics, Aachen University, 5 July 2005 : ‘Backfitting versus profiling in
general criterion functions’
45. Department of mathematics, University of La Coruna, 5 April 2005 : ‘Backfitting versus
profiling in general criterion functions’
44. Department of statistics, University of Vigo, 30 March 2005 : ‘Backfitting versus profiling
in general criterion functions’
43. Center for statistics, Limburgs Universitair Centrum, 18 March 2005 : ‘Empirical likeli-
hood tests for two-sample problems via nonparametric density estimation’
42. Department of statistics, University of California at Davis, 27 January 2005 : ‘Empirical
likelihood tests for two-sample problems via nonparametric density estimation’
41. Department of mathematics, University of California at San Diego, 20 January 2005 :
‘Empirical likelihood tests for two-sample problems via nonparametric density estimation’
40. Research institute CentER, Tilburg University, 22 December 2004 : ‘Empirical likelihood
tests for two-sample problems via nonparametric density estimation’
39. Institute of statistics, Universite catholique de Louvain, 10 December 2004 : ‘Empirical
likelihood tests for two-sample problems via nonparametric density estimation’
38. Department of Mathematics, Universite de Rennes I, 11 October 2004 : ‘Empirical
likelihood tests for two-sample problems via nonparametric density estimation’
37. Department of Statistics, Universitat Dortmund, 6 July 2004 : ‘Empirical likelihood in
some non-standard settings’
36. Institute of mathematics, Swiss Federal Institute of Technology (EPFL), Lausanne, 12
March 2004 : ‘Extending the scope of empirical likelihood’
35. Department of statistics and operations research, University of Vigo, 3 February 2004 :
‘Goodness-of-fit tests in nonparametric regression’
34. Department of statistics and operations research, University of Santiago de Compostela,
29 January 2004 : ‘Empirical likelihood in some non-standard settings’
33. Department of mathematics, University of La Coruna, 14 January 2004 : ‘Goodness-of-
fit tests in nonparametric regression’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 33
32. Department of economics, Carlos III University, Madrid, 9 January 2004 : ‘Goodness-
of-fit tests in nonparametric regression’
31. Institute of statistics and operations research, Universite Libre de Bruxelles, 14 November
2003 : ‘Empirical likelihood in some non-standard settings’
30. Research institute ECARES, Universite Libre de Bruxelles, 29 October 2003 : ‘Estimation
of semiparametric models when the criterion function is not smooth’
29. Department of applied economics, Katholieke Universiteit Leuven, 19 December 2002 :
‘Estimation of semiparametric models when the criterion function is not smooth’
28. Department of mathematics, University of La Coruna, 12 September 2002 : ‘Using
difference-based methods for inference in nonparametric regression with time-series er-
rors’
27. Department of statistics, University of Santiago de Compostela, 10 September 2002 :
‘Estimation of the bivariate and marginal distributions with censored data’
26. Department of mathematics, University of Oslo, 26 August 2002 : ‘Estimation of the
bivariate and marginal distributions with censored data’
25. Institute of statistics, Universite catholique de Louvain, 1 March 2002 : ‘Bootstrap
confidence bands for regression curves and their derivatives’
24. Centre for Mathematics and its Applications, Australian National University, 31 January
2002 : ‘Confidence bands for regression curves and their derivatives’
23. Research institute CentER, Tilburg University, 5 September 2001 : ‘Confidence bands
for regression curves and their derivatives’
22. Department of statistics, Pennsylvania State University, 17 April 2001 : ‘Likelihood ratio
confidence bands in nonparametric regression with censored data’
21. Department of statistics, University of Pittsburgh, 6 April 2001 : ‘Likelihood ratio con-
fidence bands in nonparametric regression with censored data’
20. Department of statistics, Carnegie Mellon University, 4 April 2001 : ‘Inference on mul-
tivariate M -estimators based on bivariate censored data’
19. Institute of statistics, Universite catholique de Louvain, 10 November 2000 : ‘ANCOVA
methods for heteroscedastic nonparametric regression models’
18. Department of economics, London School of Economics, 19 October 2000 : ‘ANCOVA
methods for heteroscedastic nonparametric regression models’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 34
17. Department of biostatistics, Columbia University, 3 February 2000 : ‘Likelihood ratio
confidence bands in regression with censored data’
16. Research group of statistics, Technische Universiteit Eindhoven, 12 January 2000 : ‘Like-
lihood ratio confidence bands in regression with censored data’
15. Research group of statistics, Technische Universiteit Delft, 15 December 1999 : ‘Infer-
ence on the bivariate L1 median with censored data’
14. Research group of statistics, Universiteit Nijmegen, 15 April 1999 : ‘Nonparametric
ANCOVA methods for heteroscedastic nonparametric regression models’
13. Research group of data analysis, Universiteit Gent, 8 March 1999 : ‘Nonparametric
ANCOVA methods for heteroscedastic nonparametric regression models’
12. Department of statistics, Universiteit Gent, 30 November 1998 : ‘Estimation of the
conditional distribution, density and hazard function in censored regression models’
11. Department of statistics, Stanford University, 10 March 1998 : ‘The conditional distri-
bution in regression with censored data : a nonparametric approach’
10. Division of statistics, University of California, Davis, 5 March 1998 : ‘Nonparametric
estimation of the conditional distribution in regression with censored data’
9. Research group of statistics, Katholieke Universiteit Leuven, 18 February 1998 : ‘Non-
parametric estimation of the conditional distribution in regression with censored data’
8. Institute of statistics, Universite catholique de Louvain, 11 February 1998 : ‘The condi-
tional distribution in regression with censored data : a nonparametric approach’
7. Department of statistics, Pennsylvania State University, 5 February 1998 : ‘Nonpara-
metric estimation of the conditional distribution in regression with censored data’
6. Department of statistics, Michigan State University, 3 February 1998 : ‘The conditional
distribution in regression with censored data : a nonparametric approach’
5. Department of statistics, Ruhr-Universitat Bochum, 4 November 1997 : ‘Estimation of
the conditional distribution in censored heteroscedastic regression models with applica-
tions’
4. Department of statistics, Pennsylvania State University, 17 April 1997 : ‘Transferring
tail information for estimation in censored regression models’
3. Department of statistics, University of Pennsylvania, 11 April 1997 : ‘Estimation in
censored regression models via transfer of tail information’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 35
2. Department of statistics, University of North Carolina, 4 April 1997 : ‘Estimation in
censored regression models via transfer of tail information’
1. Research group of statistics, Limburgs Universitair Centrum, 5 February 1997 : ‘Least
squares estimation for censored heteroscedastic regression models via transfer of tail
information’
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 36
4 Research visits abroad
(Research visits limited to the period starting from January 2004)
132. Department of Mathematics, Technische Universitat Munchen, 8-13 March 2020 (col-
laboration with C. Czado)
131. School of mathematical and statistical sciences, University of Potchefstroom, South
Africa, 15-29 February 2020 (collaboration with J. Allison and C. Pretorius)
130. ENSAI, Rennes, 3-6 February 2020 (collaboration with V. Patilea)
129. Toulouse School of Economics, University of Toulouse I, 28 January - 3 February 2020
(collaboration with J.-P. Florens)
128. Department of statistics, University of Santiago de Compostela, 9-13 December 2019
(collaboration with W. Gonzalez-Manteiga)
127. Department of statistics, University of Vigo, 23-30 October 2019 (collaboration with
J.C. Pardo-Fernandez and J. de Una-Alvarez)
126. Toulouse School of Economics, University of Toulouse I, 7-11 October 2019 (collabora-
tion with J.-P. Florens)
125. Department of mathematics, University of Heidelberg, 25-28 September 2019 (collabo-
ration with E. Mammen)
124. Department of mathematics, University of Hamburg, 22-25 September 2019 (collabora-
tion with N. Neumeyer)
123. Toulouse School of Economics, University of Toulouse I, 24-28 March 2019 (collaboration
with J.-P. Florens)
122. ENSAI, Rennes, 3-8 March 2019 (collaboration with V. Patilea)
121. College of business and economics, Australian National University, Canberra, 7-10 Febru-
ary 2019 (collaboration with R. Maller)
120. School of mathematics and statistics, University of Melbourne, 29 January - 7 February
2019 (collaboration with A. Delaigle)
119. Department of mathematics, University of Hamburg, 14-18 January 2019 (collaboration
with N. Neumeyer)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 37
118. Department of statistics, University of Vigo, 9-13 December 2018 (collaboration with
J.C. Pardo-Fernandez and J. de Una-Alvarez)
117. Department of statistics, University of Vigo, 11-16 November 2018 (collaboration with
J.C. Pardo-Fernandez and J. de Una-Alvarez)
116. ENSAI, Rennes, 4-7 November 2018 (collaboration with V. Patilea)
115. Toulouse School of Economics, University of Toulouse I, 8-12 October 2018 (collabora-
tion with J.-P. Florens)
114. ENSAI, Rennes, 6-8 June 2018 (collaboration with V. Patilea)
113. Department of statistics, University of Minnesota, 2-7 May 2018 (collaboration with L.
Wang)
112. Department of mathematics, University of Copenhagen, 15-18 April 2018
111. Department of statistics, University of Granada, 2-5 April 2018 (collaboration with W.
Gonzalez-Manteiga and M.D. Martinez-Miranda)
110. Toulouse School of Economics, University of Toulouse I, 28 January - 3 February 2018
(collaboration with J.-P. Florens)
109. Department of mathematics, University of Hamburg, 3-7 December 2017 (collaboration
with N. Neumeyer)
108. Department of statistics, University of Granada, 12-18 November 2017 (collaboration
with M.D. Martinez-Miranda)
107. Toulouse School of Economics, University of Toulouse I, 24 September - 6 October 2017
(collaboration with J.-P. Florens)
106. Department of mathematics, University of Hamburg, 12-15 September 2017 (collabora-
tion with N. Neumeyer)
105. Toulouse School of Economics, University of Toulouse I, 28 May - 3 June 2017 (collab-
oration with J.-P. Florens)
104. Department of mathematics, University of Heidelberg, 2-5 May 2017 (collaboration with
E. Mammen)
103. Department of statistics, University of Santiago de Compostela, 27-29 April 2017 (col-
laboration with W. Gonzalez-Manteiga)
102. Department of statistics, University of Vigo, 23-26 April 2017 (collaboration with J.C.
Pardo-Fernandez and J. de Una-Alvarez)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 38
101. Toulouse School of Economics, University of Toulouse I, 26-28 February 2017 (collabo-
ration with J.-P. Florens)
100. Department of statistics, University of Granada, 12-14 December 2016 (collaboration
with W. Gonzalez-Manteiga and M.D. Martinez-Miranda)
99. Toulouse School of Economics, University of Toulouse I, 13-18 November 2016 (collab-
oration with J.-P. Florens)
98. Toulouse School of Economics, University of Toulouse I, 13-16 September 2016 (collab-
oration with J.-P. Florens)
97. Toulouse School of Economics, University of Toulouse I, 29 May-3 June 2016 (collabo-
ration with J.-P. Florens)
96. Department of mathematics, University of Oslo, 29 March - 2 April 2016 (collaboration
with N. Hjort)
95. Toulouse School of Economics, University of Toulouse I, 6-17 March 2016 (collaboration
with J.-P. Florens)
94. Department of statistics, Texas A&M University, 16-23 January 2016 (collaboration with
U. Muller)
93. Toulouse School of Economics, University of Toulouse I, 15-20 November 2015 (collab-
oration with J.-P. Florens)
92. Department of statistics, University of Santiago de Compostela, 27-31 October 2015
(collaboration with W. Gonzalez-Manteiga)
91. Toulouse School of Economics, University of Toulouse I, 23-26 March 2015 (collaboration
with J.-P. Florens)
90. ENSAI, Rennes, 9-13 March 2015 (collaboration with V. Patilea)
89. Toulouse School of Economics, University of Toulouse I, 18-23 January 2015 (collabo-
ration with J.-P. Florens)
88. Toulouse School of Economics, University of Toulouse I, 16 November - 19 December
2014 (collaboration with J.-P. Florens)
87. ENSAI, Rennes, 28 October - 7 November 2014 (collaboration avec V. Patilea)
86. Department of mathematics, University of Oslo, 2-6 September 2014 (collaboration with
N. Hjort)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 39
85. Toulouse School of Economics, University of Toulouse I, 17 March - 2 May 2014 (col-
laboration with J.-P. Florens)
84. Department of statistics, University of Vigo, 11-15 March 2014 (collaboration with J.C.
Pardo-Fernandez, J. de Una-Alvarez and C. Moreira)
83. Cowles Foundation, Yale University, 16 February - 1 March 2014 (collaboration with X.
Chen)
82. ENSAI, Rennes, 13-31 January 2014 (collaboration with V. Patilea)
81. ENSAI, Rennes, 2-7 December 2013 (collaboration with V. Patilea)
80. Department of mathematics, University of Hamburg, 9-12 September 2013 (collabora-
tion with N. Neumeyer)
79. Department of economics, University of Mannheim, 16-20 June 2013 (collaboration with
E. Mammen)
78. Department of statistics, University of Santiago de Compostela, 31 March-6 April 2013
(collaboration with R. Crujeiras and W. Gonzalez-Manteiga)
77. Department of statistics, Purdue University, 4-16 March 2013 (collaboration with G.
Cheng)
76. Toulouse School of Economics, University of Toulouse I, 11-15 February 2013 (collabo-
ration with A. Vanhems)
75. Department of statistics, University of Vigo, 16-22 December 2012 (collaboration with
J.C. Pardo-Fernandez, J. de Una-Alvarez and C. Moreira)
74. Toulouse School of Economics, University of Toulouse I, 1-6 December 2012 (collabo-
ration with J.P. Florens and F. Feve)
73. Institute for Mathematical Stochastics, Georg August Universitat, Goettingen, 20-21
November 2012 (collaboration with A. Munk)
72. Department of mathematics, University of Hamburg, 28 October-1 November 2012
(collaboration with N. Neumeyer)
71. Toulouse School of Economics, University of Toulouse I, 22-27 July 2012 (collaboration
with J.P. Florens and F. Feve)
70. Department of statistics, University of Santiago de Compostela, 8-13 April 2012 (col-
laboration with W. Gonzalez Manteiga)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 40
69. Toulouse School of Economics, University of Toulouse I, 1-6 April 2012 (collaboration
with J.P. Florens)
68. Department of economics, University of Bonn, 13-15 November 2011 (collaboration with
A. Kneip)
67. Toulouse School of Economics, University of Toulouse I, 18-24 September 2011 (collab-
oration with J.P. Florens and A. Vanhems)
66. Department of statistics, University of Vigo, 21-24 July 2011 (collaboration with J.C.
Pardo-Fernandez and J. de Una-Alvarez)
65. Department of statistics, University of Santiago de Compostela, 17-21 July 2011 (col-
laboration with W. Gonzalez Manteiga)
64. Toulouse School of Economics, University of Toulouse I, 11-16 April 2011 (collaboration
with J.P. Florens and A. Vanhems)
63. Department of mathematics, University of Bochum, 13-18 March 2011 (collaboration
with M. Birke)
62. Toulouse School of Economics, University of Toulouse I, 27 February-11 March 2011
(collaboration with J.P. Florens and A. Vanhems)
61. Department of economics, University of Mannheim, 23-28 January 2011 (collaboration
with E. Mammen)
60. Department of statistics, Texas A&M University, 9-18 December 2010 (collaboration
with R. Carroll and U. Muller)
59. Department of mathematics, University of La Coruna, 1-6 November 2010 (collaboration
with R. Cao)
58. Toulouse School of Economics, University of Toulouse I, 8-17 September 2010 (collab-
oration with J.P. Florens, A. Vanhems and A. Daouia)
57. Department of statistics, University of Vigo, 22-24 July 2010 (collaboration with J.C.
Pardo-Fernandez)
56. Department of statistics, University of Santiago de Compostela, 18-21 July 2010 (col-
laboration with W. Gonzalez Manteiga)
55. Toulouse School of Economics, University of Toulouse I, 4-14 July 2010 (collaboration
with J.P. Florens and A. Vanhems)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 41
54. Department of mathematics and statistics, University of Cyprus, Nicosia, Cyprus, 23-26
June 2010
53. Department of economics, University of Bonn, 24-28 May 2010 (collaboration with A.
Kneip)
52. Toulouse School of Economics, University of Toulouse I, 21 March-20 April 2010 (col-
laboration with J.P. Florens and S. Van Bellegem)
51. Department of economics, Indiana University, 20-27 February 2010 (collaboration with
J.C. Escanciano)
50. Department of statistics, Texas A&M University, 14-20 February 2010 (collaboration
with R. Carroll and U. Muller)
49. Toulouse School of Economics, University of Toulouse I, 24 January-4 February 2010
(collaboration with J.P. Florens and S. Van Bellegem)
48. Department of economics, University of Mannheim, 13-18 December 2009 (collaboration
with E. Mammen)
47. Department of economics, University of Bonn, 1-4 November 2009 (collaboration with
A. Kneip)
46. Department of statistics, University of Paul Sabatier, Toulouse, 18-23 October 2009
(collaboration with P. Vieu and F. Ferraty)
45. Department of statistics, University of Vigo, 14-19 September 2009 (collaboration with
J.C. Pardo-Fernandez)
44. Toulouse School of Economics, Universite des Sciences Sociales de Toulouse, 1-5 June
2009 (collaboration with S. Van Bellegem)
43. Department of statistics, Carlos III University, Madrid, 28-29 May 2009 (collaboration
with E.M. Molanes-Lopez)
42. Department of statistics, Texas A&M University, 8-16 March 2009 (collaboration with
R. Carroll and U.U. Muller)
41. Guanghua School of Management, Peking University, 21-28 February 2009 (collaboration
with S.X. Chen)
40. Department of economics, University of Bonn, 8-12 December 2008 (collaboration with
A. Kneip)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 42
39. Department of statistics, University of Paul Sabatier, Toulouse, 13-24 October 2008
(collaboration with P. Vieu and F. Ferraty)
38. Department of mathematics, University of Oslo, 17-21 August 2008 (collaboration with
N. Hjort)
37. INSA, Rennes, 29 June-4 July 2008 and 20-25 July 2008 (collaboration with V. Patilea)
36. Department of statistics, University of Paul Sabatier, Toulouse, 15-21 June 2008 (col-
laboration with P. Vieu and F. Ferraty)
35. School of mathematics, Georgia Institute of Technology, 3-11 May 2008 (collaboration
with L. Peng)
34. Department of mathematics, University of Bochum, 30 March-4 April 2008 (collabora-
tion with H. Dette)
33. Department of mathematics, University of Hamburg, 9-14 March 2008 (collaboration
with N. Neumeyer)
32. Department of statistics, University of Santiago de Compostela, 9-15 December 2007
(collaboration with W. Gonzalez Manteiga)
31. Department of statistics, Iowa State University, 3-17 November 2007 (collaboration with
S.X. Chen)
30. Department of statistics, University of Minnesota, 29 October-3 November 2007 (col-
laboration with L. Wang)
29. Department of statistics, University of Mannheim, 23-28 September 2007 (collaboration
with E. Mammen)
28. Department of statistics, University of Paul Sabatier, Toulouse, 9-14 September 2007
(collaboration with P. Vieu and F. Ferraty)
27. Department of statistics, Iowa State University, 22-28 July 2007 (collaboration with S.X.
Chen)
26. Department of statistics, University of Minnesota, 17-22 July 2007 (collaboration with
L. Wang)
25. Department of statistics, University of Santiago de Compostela, 10-16 June 2007 (col-
laboration with W. Gonzalez Manteiga)
24. Department of statistics, University of Vigo, 4-9 June 2007 (collaboration with J. de
Una Alvarez and J.C. Pardo Fernandez)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 43
23. Department of economics, University of Bonn, 10-13 April 2007 (collaboration with A.
Kneip)
22. Department of statistics, University of Paul Sabatier, Toulouse, 26 February-10 March
2007 (collaboration with P. Vieu and F. Ferraty)
21. Institute of statistics, University of Neuchatel, 14-21 December 2006 (collaboration with
Y. Ma)
20. Department of statistics and operations research, University of Santiago de Compostela,
7-15 July 2006 (collaboration with W. Gonzalez Manteiga and C. Sanchez Sellero)
19. Department of statistics, University of Vigo, 20-27 May 2006 (collaboration with J.C.
Pardo Fernandez and J. de Una Alvarez)
18. Department of biostatistics, Columbia University, 31 January-4 February 2006 (collabo-
ration with I. McKeague)
17. Department of statistics, Iowa State University, 20-31 January 2006 (collaboration with
S. Chen)
16. Department of statistics, University of Minneapolis, 16-20 January 2006 (collaboration
with L. Wang)
15. Department of statistics and operations research, University of Santiago de Compostela,
30 November-8 December 2005 (collaboration with W. Gonzalez Manteiga and C.
Sanchez Sellero)
14. Department of statistics and operations research, University of Santiago de Compostela,
3-10 April 2005 (collaboration with W. Gonzalez Manteiga and C. Sanchez Sellero)
13. Department of statistics and operations research, University of Vigo, 26 March - 2 April
2005 (collaboration with J. de Una Alvarez and J.C. Pardo Fernandez)
12. Department of statistics, University of California at Davis, 27-29 January 2005
11. Department of mathematics, University of California at San Diego, 20-26 January 2005
(collaboration with A. Delaigle)
10. Department of statistics, Texas A&M University, 13-19 January 2005 (collaboration with
R. Carroll)
9. Research institute CentER, Tilburg University, 21-22 December 2004 (collaboration with
J. Einmahl)
8. Department of mathematics, Universite de Rennes I, 9-12 October 2004
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 44
7. Department of mathematics, University of Bochum, 5-9 July 2004 (collaboration with
H. Dette and N. Neumeyer)
6. Department of statistics and operations research, University of Santiago de Compostela,
22-25 April 2004 (collaboration with W. Gonzalez Manteiga and C. Sanchez Sellero)
5. Department of mathematics, University of La Coruna, 18-21 April 2004 (collaboration
with R. Cao)
4. Institute of mathematics, Swiss Federal Institute of Technology (EPFL), Lausanne, 11-13
March 2004
3. Department of statistics and operations research, University of Santiago de Compostela,
25 January - 7 February 2004 (collaboration with W. Gonzalez Manteiga and C. Sanchez
Sellero)
2. Department of mathematics, University of La Coruna, 12-24 January 2004 (collaboration
with R. Cao)
1. Department of economics, Carlos III University, Madrid, 8-11 January 2004
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 45
5 Teaching
(Teaching limited to the period starting from September 2000)
Responsibilities
1. Programme director of the master of statistics and data science at KU Leuven since
2020
Bachelor level
1. ‘Traitement statistique des donnees’ (for pharmacy students, UCL, 2016)
2. ‘Statistique: analyse descriptive et modelisation GLM de donnees multivariees’ (for psy-
chology students, UCL, 2014-2016)
3. ‘Biostatistique’ (for veterinary medicine students, UCL, 2007-2011)
4. ‘Statistique appliquee a la psychologie II’ (for psychology students, UCL, 2004-2007)
5. ‘Statistique appliquee a la psychologie I’ (for psychology students, UCL, 2001-2014)
6. ‘Probabilite et statistique’ (for engineering students, UCL, 2000-2001)
Master level
1. ‘Advanced topics in survival analysis’ (KU Leuven, 2020-)
2. ‘Statistical analysis of reliability and survival data’ (KU Leuven, 2020-)
3. ‘Analyse des donnees de survie et de duree’ (UCL, 2002-present)
4. ‘Statistical inference in semiparametric models’ (UCL, 2016)
5. ‘Analyse statistique I’ (UCL, 2013-2016)
6. ‘Methodes de reechantillonnage avec applications’ (UCL, 2012-2016)
7. ‘Calcul des probabilites et analyse statistique’ (UCL, 2012-2013)
8. ‘Statistique nonparametrique : methodes de base’ (UCL, 2005-2016)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 46
9. ‘Analyse statistique’ (UCL, 2005-2009)
10. ‘Probabilites et analyse statistique multivariee’ (UCL, 2003-2013)
11. ‘Mathematique du statisticien - Elements de probabilite et statistique’ (UCL, 2002-2016)
12. ‘Modeles lineaires’ (UCL, 2000-2005)
13. ‘Survival data analysis’ (Universiteit Hasselt, 2002, 2008-2010, 2012, 2014, 2016)
14. ‘Survival analysis and reliability’ (University of Vigo, 2004, 2006)
Doctoral level
1. ‘Survival analysis’ (course in APTS program, Glasgow, 2015, 2016, 2017)
2. ‘Special topics in mathematical statistics’ (UCL, 2009-2012)
3. ‘Probability and mathematical statistics’ (UCL, 2007-2016)
4. ‘Statistics seminar’ (UCL, 2000-2016)
5. ‘Resampling methods with applications’ (UCL, 2000-2001)
Short courses
1. StatCon 2020 On-line Workshop, North West University, Potchefstroom, South Africa,
30 November 2020 : ‘Cure models in survival analysis’ (online)
2. Department of statistics and operations research, University of Vigo, Spain, 11-13
November 2020 : ‘Cure models in survival analysis’ (online)
3. Summer School, Villars-sur-Ollon, Switzerland, 2-5 September 2018 : ‘Survival analysis:
from basic concepts to open research questions’.
4. Flames @ KU Leuven, 13 March 2018 : Short course on ‘Survival analysis and cure
models’.
5. 28th European Meeting of Statisticians, Piraeus, Greece, 17-22 August 2010 : Short
course on ‘Inference for semiparametric Z-estimators’.
6. Toulouse School of Economics, University of Toulouse I, 26 March - 1 April 2010 : Short
course on ‘Inference for semiparametric Z-estimators’.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 47
7. Department of economics, Indiana University, USA, 22-25 February 2010 : Short course
on ‘Inference for semiparametric Z-estimators’.
8. Journees Statistiques du Sud 2009, Porquerolles, France, 17-19 June 2009 : Short course
on ‘The empirical likelihood method in regression’.
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 48
6 Supervision of PhD students andpostdocs
Supervision of PhD students
1. Benjamin Deketelaere (in preparation, joint with A. El Ghouch)
2. Morine Delhelle (in preparation)
3. Lorenzo Tedesco (in preparation)
4. Elif Akca (in preparation)
5. Motahareh Parsa (in preparation)
6. Negera Wakgari Deresa : ‘Flexible modeling and inference for survival data subject to
dependent censoring’ (9 December 2020)
7. Mailis Amico : ‘Cure models in survival analysis: from modelling to prediction assessment
of the cure fraction’ (joint with C. Legrand) (9 November 2018)
8. Mickael De Backer : ‘Quantile regression with censored data - An investigation of new
estimation procedures’ (joint with A. El Ghouch) (29 June 2018)
9. Nicolas Asin : ‘Adaptive estimation of inverse problems in the presence of dependence’
(joint with J. Johannes) (12 September 2017)
10. Benjamin Colling : ‘Estimation and goodness-of-fit tests in semi- and nonparametric
transformation models’ (6 September 2017)
11. Aurelie Bertrand : ‘Survival models with a cure fraction and mismeasured covariates’
(joint with C. Legrand) (5 July 2017)
12. Majda Talamakrouni : ‘Parametrically guided nonparametric estimation and inference
with censored data’ (joint with A. El Ghouch) (22 June 2016)
13. Aleksandar Sujica : ‘Estimation in nonparametric regression under copula dependent
censoring’ (21 October 2014)
14. Maik Schwarz : ‘Non parametric estimation in the presence of noise with unknown
distribution’ (1 July 2011)
15. Bianca Teodorescu : ‘General conditional linear models with time-dependent coefficients
under censoring and truncation’ (19 December 2008)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 49
16. Anouar El Ghouch : ‘Nonparametric statistical inference for dependent censored data’
(5 October 2007)
17. Juan Carlos Pardo Fernandez : ‘Tests in nonparametric regression based on the error
distribution’ (joint with Wenceslao Gonzalez-Manteiga, at the University of Santiago de
Compostela) (1 December 2005)
18. Cedric Heuchenne : ‘Mean preservation in censored regression using preliminary non-
parametric smoothing’ (18 August 2005)
Supervision of postdocs
1. Negera Wakgari Deresa, 2021-
2. Jun Cai, 2021-
3. Jad Beyhum, 2020-
4. Alexander Kreiss, 2020-
5. Eni Musta, 2019-2020
6. Mercedes Conde Amboage, 2019
7. Jeong Min Jeon, 2018-
8. Xavier Piulachs, 2017-2018
9. Mikael Escobar-Bach, 2017-2018
10. Benjamin Colling, 2017-2018
11. Mercedes Conde Amboage, 2017
12. Ali Charkhi, 2017
13. Yue Zhao, 2016-2019
14. Samuel Maistre, 2015-2016
15. Justin Chown, 2015-2016
16. Francois Portier, 2013-2016
17. Axel Bucher, 2013
18. Seongjun Yang, 2012-2014
19. Abdelaati Daouia, 2011-2013
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 50
20. Maik Schwarz, 2011-2012
21. Hohsuk Noh, 2010-2013
22. Auguste Gaddah, 2010-2011
23. Rawane Samb, 2010-2011
24. Laurent Delsol, 2008-2009
25. Stephane Laurent, 2008-2009
26. Davit Varron, 2005-2006
Membership to external PhD/habilitation thesis
committees
1. 2020 : Hasselt, Paris, Toulouse, Hasselt, Paris
2. 2019 : Delft, Heidelberg, Hamburg
3. 2018 : Toulouse, Hasselt, Granada, Vigo
4. 2017 : Santiago de Compostela, Toulouse, La Coruna
5. 2016 : Leuven, Oslo, Hasselt
6. 2015 : Hasselt, Leuven, Hasselt
7. 2014 : Tilburg, Liege
8. 2013 : Leuven, Santiago de Compostela, Rennes, Delft, Lille
9. 2012 : Besancon, Lyon
10. 2011 : Heidelberg, Toulouse
11. 2010 : Bochum, Nicosia, Paris, Vigo, Hasselt, Marseille
12. 2009 : Namur, Paris
13. 2008 : Santiago de Compostela
14. 2007 : La Coruna
15. 2006 : Paris, Bochum, Paris
16. 2005 : Santiago de Compostela
17. 2004 : Santiago de Compostela, Hasselt, Rennes
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 51
7 Grants
1. Co-investigator of the Global PhD Partnership project ‘Quantile regression for censored
data’ of the KU Leuven and UCLouvain (2020-2024)
2. Co-investigator of the ARC project (‘Projet d’Actions de Recherche Concertees’) ‘Im-
perfect data : From mathematical foundations to applications in life sciences’ of the
‘Communaute francaise de Belgique’, granted by the ‘Academie universitaire Louvain’
(2020-2025)
3. Principal Investigator of the C1 project ‘Measurement errors: from mathematical foun-
dations to applications in economics’ of the KU Leuven (2019-2023)
4. Principal Investigator of the ERC grant (European Research Council) ‘Semiparametric
inference for complex and structural models in survival analysis’ (2016-2022, Horizon
2020 / ERC grant agreement No. 694409)
5. Principal Investigator of the PDR grant ‘Semiparametric inference for multi-state models’
financed by the FNRS (2016-2020).
6. Co-investigator of the IAP network (Interuniversity Attraction Pole) ‘Developing cru-
cial statistical methods for understanding major complex dynamic systems in natural,
biomedical and social sciences’ (Phase VII, 2012-2016, contract P7/06)
7. Principal Investigator of the ARC project (‘Projet d’Actions de Recherche Concertees’)
‘Semiparametric inference for survival and cure models’ of the ‘Communaute francaise
de Belgique’, granted by the ‘Academie universitaire Louvain’ (2011-2016, contract
11/16-039)
8. Principal Investigator of the FRFC project (‘Fonds de la Recherche Fondamentale Col-
lective’) ‘Semiparametric inference for cure models’ (2011-2014, convention 2.4507.11)
9. Principal Investigator of the ERC grant (European Research Council) ‘M- and Z-estimation
in semiparametric statistics: applications in various fields’ (2008-2014, European Com-
munity’s Seventh Framework Programme / ERC grant agreement No. 203650)
10. Principal Investigator of the IAP network (Interuniversity Attraction Pole) ‘Statistical
analysis of association and dependence in complex data’ (Phase VI, 2007-2011, contract
P6/03)
11. Principal Investigator of the IAP network (Interuniversity Attraction Pole) ‘Statistical
techniques and modeling for complex substantive questions with complex data’ (Phase
V, 2002-2006, contract P5/24) during the period 2004-2006
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 52
12. Co-investigator of the grant ‘Metodologia y aplicaciones en estadistica semiparametrica,
funcional y espacio temporal’ from the Spanish Ministerio de Educacion y Ciencia (project
MTM2005-03010) (principal investigator : W. Gonzalez-Manteiga)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 53
8 Fellowships, honors and awards
1. Fellow of the American Statistical Association (2013) ‘for outstanding research contri-
butions to statistical theory and methodology, especially in the areas of survival analysis,
copulas, semi-parametric, nonparametric and empirical likelihood based inference; for
extensive editorial services and service to the profession.’
2. Fellow of the Institute of Mathematical Statistics (2008) ‘for contributions to statistical
theory and methodology, especially semi- and nonparametric regression, survival analysis,
and empirical likelihood methods.’
3. Elected member of the International Statistical Institute (2004)
4. 2001-2002 recipient of the Janssen Research Foundation Chair in Survival Analysis
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 54
9 Editorships / associate editorships
1. Joint editor of the Journal of the Royal Statistical Society - Series B (2012-2015)
2. Associate editor of Annals of Statistics (2018-)
3. Associate editor of Biometrika (2018-)
4. Associate editor of the Electronic Journal of Statistics (2018-)
5. Member of the editorial board of ‘Annual Review of Statistics and Its Application’
(2016-)
6. Member of the advisory board of ‘Econometrics and Statistics’ (2015-)
7. Associate editor of the International Journal of Biostatistics (2008-2013)
8. Associate editor of the Annals of Statistics (2007-2011)
9. Associate editor of the Scandinavian Journal of Statistics (2004-2011)
10. Associate editor of the Annals of the Institute of Statistical Mathematics (2006-2011)
11. Associate editor of Statistics and Probability Letters (2007-2011)
12. Associate editor of the Journal of the Royal Statistical Society - Series B (2002-2006)
13. Referee for papers submitted to Annals of Statistics, Annals of the Institute of Sta-
tistical Mathematics, Austrian Journal of Statistics, Bernoulli, Biometrics, Biometrika,
Canadian Journal of Statistics, Comptes rendus - Mathematique, Computational Statis-
tics, Computational Statistics and Data Analysis, Econometrica, Econometric Theory,
ESAIM: Probability and Statistics, International Journal of Biostatistics, Journal of the
American Statistical Association, Journal of Computational and Graphical Statistics,
Journal of Econometrics, Journal of Multivariate Analysis, Journal of Nonparametric
Statistics, Journal of Statistical Planning and Inference, Journal of the Royal Statistical
Society-Series B, Journal of Time Series Analysis, Kybernetika, Lifetime Data Analysis,
Metrika, Probability and Mathematical Statistics, Probability Theory and Related Fields,
Sankhya, Scandinavian Journal of Statistics, Science in China, Statistica Neerlandica,
Statistica Sinica, Statistics, Statistics and Computing, Statistics and Decisions, Statis-
tics and Probability Letters, Statistics in Medicine, Technometrics, Test, The American
Statistician, among others
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 55
10 Service to the profession
1. Co-chair of the scientific programme committee of the 5th Conference of the Interna-
tional Society for Nonparametric Statistics (ISNPS), Paphos, Cyprus, 20-24 June 2022
2. Co-organizer of the ATMS workshop on ‘Multi- and high-dimensional statistics, copulas,
survival analysis, and model selection’, KU Leuven, 22-24 August 2018
3. Chair of the scientific programme committee of the European Meeting for Statisticians
(EMS), Helsinki, 24-28 July 2017
4. Chair of the Section on Nonparametric Statistics of the American Statistical Association
(2018)
5. Scientific expert for the European Research Council (2018-)
6. Chair-Elect of the Section on Nonparametric Statistics of the American Statistical As-
sociation (2017)
7. Member of the Council of the Bernoulli Society (2017-)
8. Member of the IMS Committee on Nominations (2016-2017)
9. Member of the Council of the IMS (2010-2013)
10. Member of the IMS Council sub-committee on co-sponsorship of meetings (2010-2013)
11. Member of the fellowship committee of the IMS (2008-2011)
12. Member of the scientific programme committee of the European Meeting for Statisticians
(EMS), Toulouse, 20-24 July 2009
13. Member of the board of the Belgian Statistical Society (2007-2012)
14. Member of the board of the Quetelet Society, local group of the International Biometric
Society (2000-2002)
15. Scientific expert for the Research Council of Flanders (Fonds voor Wetenschappelijk
Onderzoek) (2006-2013, 2018-)
16. President of the Three Country Corner, local group of the Royal Statistical Society
(2006-2007)
17. Committee member of the ‘European Regional Committee’ of the Bernoulli Society
(2004-2008)
18. Member of the Conference Committee of the ‘European Regional Committee’ of the
Bernoulli Society (2007-2008)
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 56
19. Member of the steering group of the ‘Seminaire Europeen de Statistique’ (2004-)
20. Member of the scientific organizing committee of the annual meeting of the Belgian
Statistical Society (BSS), 2006, 2007, 2008, 2013, 2018
21. Co-organizer of the ‘Winter School in Statistics’, Universite catholique de Louvain, 28-29
January 2016
22. Main organizer of the workshop ‘Complex time-to-event data’, Universite catholique de
Louvain, 17-18 December 2015
23. Main organizer of the conference ‘Statistics, your friend in daily life; whether you like it
or not’, Universite catholique de Louvain, 25 October 2013
24. Main organizer of the workshop ‘Exploring research frontiers in contemporary statistics
and econometrics’, Universite catholique de Louvain, 14-15 May 2009
25. Main organizer of the workshop ‘Flexible statistical analysis adapted to complex data
structures’, Universite catholique de Louvain, 16-17 March 2006
26. Co-organizer of the workshop ‘Statistical modelling and inference for complex data struc-
tures’, Universite catholique de Louvain, 21-23 May 2002
27. Organiser of the one-day workshop ‘Recent developments in non- and semiparametric
statistics’, Universite catholique de Louvain, 8 May 2001
Curriculum Vitae Ingrid Van Keilegom, March 17, 2021 57