STAT-DS Invited Talks

Statistical Methods and Computational Algorithms for Analyzing Biobank Data

Prof. Hua ZHOU, University of California, Los Angeles

Jul 19, 2024, 15:30-16:30

Room 341, Business School Building

Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference

Dr. Difan ZOU, The University of Hong Kong

Jul 11, 2024, 14:00-15:00

Room 108, Business School Building

Selection of Mixture Dynamic Quantile Regression Models: Theory and Applications

Prof. Zongwu CAI, University of Kansas

Jul 9, 2024, 14:30-15:30

Room 209, Business School Building

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

Prof. Lianjie SHU, University of Macau

Jul 1, 2024, 15:30-16:00

Room 341, Business School Building

Finite Mixture of Regression Models and Their Applications

Prof. Shili LIN, The Ohio State University

Jul 1, 2024, 10:30-11:30

Room 308, Lecture Hall 3

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

Prof. Jinchi Lv, University of Southern California

Jun 26, 2024, 10:20-11:20

Room 209, Business School Building

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

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

Jun 25, 2024, 10:20-11:20

Room 206, Business School Building

Robust Max Statistics for High-Dimensional Inference

Mingshuo LIU, University of California, Davis

Jun 21, 2024, 15:30-16:30

Room 341, Business School Building

Network Regression and Supervised Centrality Estimation

Prof. Dan YANG, University of Hong Kong

Jun 21, 2024, 10:30-11:30

Room 341, Business School Building

Probability Distributions: Characterizations, Inference, Limit theorems

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

Jun 17, 2024, 16:20-17:20

Room 341, Business School Building