Statistical Methods and Computational Algorithms for Analyzing Biobank Data

Prof. Hua ZHOU, University of California, Los Angeles

2024-07-19 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

2024-07-11 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

2024-07-09 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

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

Room 341, Business School Building

Finite Mixture of Regression Models and Their Applications

Prof. Shili LIN, The Ohio State University

2024-07-01 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

2024-06-26 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

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

Room 206, Business School Building

Robust Max Statistics for High-Dimensional Inference

Mingshuo LIU, University of California, Davis

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

Room 341, Business School Building

Network Regression and Supervised Centrality Estimation

Prof. Dan YANG, University of Hong Kong

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

Room 341, Business School Building

Probability Distributions: Characterizations, Inference, Limit theorems

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

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

Room 341, Business School Building