waseda university - academia sinica data science …...center for data science, waseda university p...
TRANSCRIPT
Bldg 40
Do you want advanced methods and applications
explained to you by world-class statisticians in an
easy-to-understand way? The morning lectures
are for students and the afternoon lectures are for
researchers, but anyone can attend! For more
information, please visit our homepage
(https://www.waseda.jp/inst/cds/news/1081).
Look forward to seeing you!
\ 簡単な英語でお話ししますので、ぜひお気軽にご参加ください /
Organizers Development of Data Analysis Talents (D-DATa) [ https://d-data.jp/ ]
Center for Data Science, Waseda University [ https://www.waseda.jp/inst/cds/ ]
Dr. I-Ping Tu
Research Fellow & Deputy Director, Institute of Statistical Science, Academia Sinica, Taiwan
Research fields: Statistical Analysis for Biological Data Analysis, Dimension Reduction, High-dimensional Data Analysis
Dr. Su-Yun Huang
Research Fellow, Institute of Statistical Science, Academia Sinica, Taiwan
Research fields: Dimension Reduction, High-dimensional Data Analysis, Machine Learning, Robust Statistical Inference
Dr. Chun-houh Chen
Research Fellow & Director, Institute of Statistical Science, Academia Sinica, Taiwan
Research fields: Clustering Analysis, Data/Information Visualization, Exploratory Data Analysis (EDA), Matrix Visualization (MV)
世界トップレベルの統計学者による高度な手法とその応用の解説
をわかりやすく行います。午前中の講義は主に学生向き、午後は
主に研究者向きですが、どなたでも参加可能です。詳しくはホー
ムページ (https://www.waseda.jp/inst/cds/news/1081) を
ご覧ください。ご参加をお待ちしております。
Bldg 40
-102 Nov.7, 2019
10:10 ~ 16:20
10:10 ~10:15
Opening Remarks
Director Chun-houh Chen Institute of Statistical Science, Academia Sinica
10:15 ~11:00
Lecture1 Statistical Graphics and Data Visualization (Part I)
Chun-houh Chen (Institute of Statistical Science, Academia Sinica)
11:15 ~12:00
Lecture2 Statistical Graphics and Data Visualization (Part II)
Chun-houh Chen (Institute of Statistical Science, Academia Sinica)
For registration, visit https://bit.ly/2VM3qJo
Deadline is 12:00 on Nov.6
◆ Registration
◆ Inquiries
13:30 ~14:15
Lecture 3 Matrix Visualization: New Generation of Exploratory Data Analysis
Chun-houh Chen (Institute of Statistical Science, Academia Sinica)
14:30 ~15:15
Lecture 4 On Principal Component Analysis and Multilinear Principal Component Analysis
I-Ping Tu* & Su-Yun Huang (Institute of Statistical Science, Academia Sinica)
15:30 ~16:15
Lecture 5 Kronecker Envelope PCA and Its Application to Cryo-EM Image Data
Su-Yun Huang* & I-Ping Tu (Institute of Statistical Science, Academia Sinica)
16:15 ~16:20
Closing remarks
Director Toshiyasu Matsushima Center for Data Science, Waseda University
Moderator: Associate Professor Xiaoling Dou Center for Data Science, Waseda University
◆ Program
Center for Data Science, Waseda University
[email protected] / 03-3204-9164