International Symposium on Theories, Methodologies and
Applications for Large Complex Data
Supported by
Grant-in-Aid for Scientific Research (A) 20H00576
"Innovative developments of theories and methodologies for large complex data"
(Principal Investigator: Makoto Aoshima)
Grant-in-Aid for Challenging Research (Exploratory) 22K19769
"Developments of statistical compression technology for massive data having tensor structures"
(Principal Investigator: Makoto Aoshima)
| Date: | December 4-6, 2024 | |
|---|---|---|
| Venue: | Conference Room 202, Tsukuba International Congress Center 2-20-3 Takezono, Tsukuba, Ibaraki 305-0032, Japan |
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| Contents & Purposes: | Please look at THIS PAGE for further details. | |
| Access: | Please see THIS PAGE. | |
| Dinner: | December 5, 7:00pm- Tenryu (URL: https://gurunavi.com/en/gf02801/rst/?sc_cid=r-foreign_en_service&__ngt__=TT15e83c984007ac1e4ae4b5YfxMOCr9NPtePXoHbz-SIU) |
Program Schedule (PDF)/ Flyer (PDF)
* denotes speakers
December 4
1:40-1:50pm Opening
| Time (UTC+9) | Title and Speaker (Affiliation) | |
|---|---|---|
| Invited Session | ||
| 1:50-2:30pm | Statistical inference on high-dimensional covariance structures under the SSE models
[Abstract] Aki Ishii*,a, Yumu Iwanab, Kazuyoshi Yatac and Makoto Aoshimac a(Department of Information Sciences, Tokyo University of Science) b(Graduate School of Science and Technology, University of Tsukuba) c(Institute of Mathematics, University of Tsukuba) |
|
| 2:40-3:20pm | Statistical properties of matrix decomposition factor analysis
[Abstract] Yoshikazu Terada (Graduate School of Engineering Science, Osaka University) |
|
| 3:30-4:10pm | High-dimensional statistics in astrophysics and its perspective
[Abstract] Tsutomu T. Takeuchi (Division of Particle and Astrophysical Science, Nagoya University) |
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| 4:30-5:10pm | High-dimensional inference on a cross data matrix-based method
[Abstract] Shao-Hsuan Wang (Graduate Institute of Statistics, National Central University) |
|
| 5:20-6:00pm | On estimation of a matrix mean under matrix loss
[Abstract] Yuan-Tsung Chang*,a, Nobuo Shinozakib and William E. Strawdermanc a(The Institute of Statistical Mathematics) b(Faculty of Science and Technology, Keio University) c(Department of Statistics, Rutgers University) |
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December 5
| Time (UTC+9) | Title and Speaker (Affiliation) | |
|---|---|---|
| Young Researchers Session | ||
| 9:00-11:00am | 1. Automatic sparse estimation of high-dimensional cross-covariance matrix
[Abstract] Tetsuya Umino (Graduate School of Science and Technology, University of Tsukuba) 2. Augmented estimation of principal component subspace in high dimensions [Abstract] Dongsun Yoon (Department of Statistics, Seoul National University) 3. James-Stein estimator of spiked leading eigenvector of high-dimensional covariance matrix [Abstract] Giheon Seong (Department of Statistics, Seoul National University) 4. General measures of attribution disclosure risk for gauging privacy of synthetic data [Abstract] Yongjae Kim (Department of Statistics, Seoul National University) 5. Regularized k-POD clustering for high-dimensional missing data Guan Xin (Graduate School of Engineering Science, Osaka University) |
|
| Invited Session | ||
| 11:10-11:50am | Non-sparse high-dimensional statistics: structured model, neural network,
and universality Masaaki Imaizumi (Komaba Institute for Science, The University of Tokyo / RIKEN AIP) |
|
| 11:50-1:40pm | Lunch | |
| Special Invited Session | ||
| 1:40-2:30pm | Difference between large statistical model and medium statistical model
[Abstract]
Speaker: Shurong Zheng
(School of Mathematics and Statistics, Northeast Normal University) Discussion Leader: Kento Egashira (Department of Information Sciences, Tokyo University of Science) |
|
| 2:40-3:30pm | Principal component analysis for zero-inflated compositional data
[Abstract]
Speaker: Sungkyu Jung (Institute for Data Innovation in Science, Seoul National University) Discussion Leader: Kazuyoshi Yata (Institute of Mathematics, University of Tsukuba) |
|
| Keynote Session | ||
| 3:50-4:50pm | A generalized mean approach for distributed-PCA
[Abstract]
Speaker: Su-Yun Huang (Institute of Statistical Science, Academia Sinica) Discussion Leader: Yuan-Tsung Chang (The Institute of Statistical Mathematics) |
|
| 5:00-6:00pm | Alignment and matching tests for high-dimensional tensor signals
via tensor contraction
[Abstract]
Speaker: Jianfeng Yao (School of Data Science, Chinese University of Hong Kong (Shenzhen)) Discussion Leader: Yuta Koike (Graduate School of Mathematical Sciences, The University of Tokyo) |
|
| 7:00-9:00pm | Dinner | |
December 6
| Time (UTC+9) | Title and Speaker (Affiliation) | |
|---|---|---|
| Invited Session | ||
| 9:00-9:40am | On dimension-free concentration of logistic regression Shogo Nakakita (Komaba Institute for Science, The University of Tokyo) |
|
| 9:50-10:30am | Subspace recovery in winsorized PCA
[Abstract] Sangil Han (Institute for Data Innovation in Science, Seoul National University) |
|
| 10:45-11:25am | High-dimensional bootstrap and asymptotic expansion
[Abstract] Yuta Koike (Graduate School of Mathematical Sciences, The University of Tokyo) |
|
| 11:35am-12:15pm | On a test for assessing vector correlation for latent factor models
in high-dimensional settings
[Abstract] Takahiro Nishiyama*,a, Masashi Hyodob and Shoichi Naritac a(Department of Business Administration, Senshu University) b(Faculty of Economics, Kanagawa University) c(Graduate School of Economics, Kanagawa University) |
|
| 12:20-1:05pm | Asymptotic locations of bounded and unbounded eigenvalues of sample correlation
matrices of certain factor models – application to a components retention rule Yohji Akama (Mathematical Institute, Tohoku University) |
|
1:05-1:10pm Closing