Blockwise Mixed Membership Model for Discovering the Clinical Heterogeneity of Parkinson’s Disease

2024-09-02 16:30-17:30

Prof. Kai KANG, Sun Yat-sen University

Room 341, Business School Building

Science Driven Research in Statistics

2024-08-15 15:00-16:00

Prof. Heping ZHANG, Yale University

Room 341, Business School Building

Linking brain-wide gene expression and neuroimaging data in brain science

2024-08-01 16:30-17:30

Prof. Shuixia GUO, Hunan Normal University

Room 341, Business School Building

Deep Learning and Information Theory (A Critical Comparison)

2024-08-01 14:00-15:00

Prof. Jean-Michel MOREL, City University of Hong Kong

Room 208, Business School Building

动力学刻画的数据科学与AI

2024-07-28 15:00-16:00

Prof. Luonan CHEN, Chinese Academy of Sciences

Room 102, Business School Building

Towards Temporal Robust Video Understanding: Benchmark Datasets and Methods

2024-07-25 14:00-15:00

Prof. Runhao Zeng, Shenzhen MSU-BIT University

Room 341, Business School Building

Statistical Methods and Computational Algorithms for Analyzing Biobank Data

2024-07-19 15:30-16:30

Prof. Hua ZHOU, University of California, Los Angeles

Room 341, Business School Building

Transferability-guided Transfer Learning

2024-07-18 14:00-15:00

Prof. Yang LI, Tsinghua Shenzhen International Graduate School

Room 341, Business School Building

Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference

2024-07-11 14:00-15:00

Dr. Difan ZOU, The University of Hong Kong

Room 108, Business School Building

Selection of Mixture Dynamic Quantile Regression Models: Theory and Applications

2024-07-09 14:30-15:30

Prof. Zongwu CAI, University of Kansas

Room 209, Business School Building

A Change-point Method for Phase I Analysis of High-dimensional Processes with Sparse Mean Shifts

2024-07-01 15:30-16:00

Prof. Lianjie SHU, University of Macau

Room 341, Business School Building

Finite Mixture of Regression Models and Their Applications

2024-07-01 10:30-11:30

Prof. Shili LIN, The Ohio State University

Room 308, Lecture Hall 3

SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals

2024-06-26 10:20-11:20

Prof. Jinchi Lv, University of Southern California

Room 209, Business School Building

Repro Samples Method for Addressing Irregular Inference Problems and for Unraveling Machine Learning Blackboxes

2024-06-25 10:20-11:20

Prof. Min-ge Xie, Rutgers, The State University of New Jersey

Room 206, Business School Building

Robust Max Statistics for High-Dimensional Inference

2024-06-21 15:30-16:30

Mingshuo LIU, University of California, Davis

Room 341, Business School Building

Network Regression and Supervised Centrality Estimation

2024-06-21 10:30-11:30

Prof. Dan YANG, University of Hong Kong

Room 341, Business School Building

Probability Distributions: Characterizations, Inference, Limit theorems

2024-06-17 16:20-17:20

Prof. Jordan Stoyanov, Bulgarian Academy of Sciences & Shandong University

Room 341, Business School Building

Nonparametric two-sample tests of high dimensional mean vectors via random integration

2024-06-14 16:30-17:30

Prof. Yunlu JIANG, JINAN University

Room 341, Business School Building

Some Research Developments on Length-Biased and Right-Censored Data

2024-06-14 15:30-16:30

Prof. Jianhua SHI, Minnan Normal University

Room 341, Business School Building

Uniform sampling of fixed size polyominoes

2024-06-07 16:30-17:30

Prof. Nicolas WICKER, University of Lille

Room 107，Business School Building