Connecting the Dots: Statistical Models in Brain Imaging and Brain Networks Dynamics

Prof. Michele Guindani, University of California, Los Angeles

2024-09-14 14:00-15:00

Room 341, Business School Building

MM Algorithms in Action

Prof. Hua ZHOU, University of California, Los Angeles

2024-09-14 16:00-16:30

Room 341, Business School Building

A Bayesian Criterion for Re-randomization

Prof. Ke DENG, Tsinghua University

2024-09-06 15:10-16:10

Room 103, Business School Building

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

Prof. Kai KANG, Sun Yat-sen University

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

Room 341, Business School Building

Science Driven Research in Statistics

Prof. Heping ZHANG, Yale University

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

Room 341, Business School Building

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

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