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! Look forward to seeing you!
11/7に台湾の中央研究院Academia Sinica統計科学研究所から、Chun-houh Chen所長や研究員の方々をお招きして講演等のワークショップを開催します。データ科学を学ばれる方々にとっては、日本にいながら世界トップレベルの研究を垣間見ることができる絶好の機会です!午前中の講義は主に学生に向けて、午後は主に大学の研究者、学外機関、企業等の方に向けて、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。学内外問わずどなたでも参加可能ですので、ぜひご参加ください!お待ちしております。
- Time
10:10–16:20, Nov.7 (Thu) - Venue
40-102 ( https://www.waseda.jp/inst/cds/en/access )
Program
10:10–10:15 Opening Remarks
Director Chun-houh Chen
Institute of Statistical Science, Academia Sinica
10:15–11:00 Lecture 1
Statistical Graphics and Data Visualization (Part I)
Chun-houh Chen (Institute of Statistical Science, Academia Sinica)
11:15–12:00 Lecture 2
Statistical Graphics and Data Visualization (Part II)
Chun-houh Chen (Institute of Statistical Science, Academia Sinica)
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 Processing
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
Preparation for the morning session
Since the morning session will be hands-on lectures, please do preparation beforehand and bring your laptop to the lectures.
For preparation, please download the files in the BOX (https://waseda.box.com/s/s7ra7esq5ldzjj6cpil9x069tvogzkbr) and install the software following the descriptions (Preparation_morning session.txt) given by the lecturer.
If you have any questions on preparation, please come to the classroom (40-102) by 10am on Nov. 7. The classroom will be open at 9:30am.
Abstracts for the afternoon session
https://www.waseda.jp/inst/cds/assets/uploads/2019/10/Abstracts-for-the-Afternoon-session.pdf
Registration
- For registration, visit https://bit.ly/2VM3qJo
- Deadline is 12:00 on Nov. 6
Inquiries
Center for Data Science, Waseda University
早稲田大学データ科学総合研究教育センター
E-mail: [email protected]
Tel: 03-3204-9164
flyer:
https://www.waseda.jp/inst/cds/assets/uploads/2019/10/82d8f002c998de543bbbdb339cb399d5.pdf