Waseda University - Academia Sinica Data Science …...Center for Data Science, Waseda University P...

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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

Transcript of Waseda University - Academia Sinica Data Science …...Center for Data Science, Waseda University P...

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