Statistical Inference for Nonlinear Regression Models with High-Dimensional Covariates

Dec 21, 2023, 16:20-17:20

Prof. Bin Nan, University of California, Irvine

Room 209, Business School Building

A Geometric Proximal Gradient Method for Sparse Least Squares Regression with Probabilistic Simplex Constraint

Dec 19, 2023, 14:30-15:30

Prof. Zhengjian BAI, Xiamen University

Room 110, Business School Building

Effective Segmentation Learning Techniques for Dealing with Small Training Data

Dec 18, 2023, 17:00-18:00

Prof. Ke CHEN, University of Strathclyde, United Kingdom

Room 207, Business School Building

Testing for and Estimation of Change-points in Heavy-tailed Time Series -A trimmed CUSUM approach

Dec 7, 2023, 14:00-15:00

Prof. Shiqing LING, Hong Kong University of Science and Technology

Room 207, Business School Building

2023 Shenzhen International Conference on Frontiers of Statistics and Data Science

Dec 1-3, 2023

南方科技大学

Transfer learning on stratified data in linear regression models and Gaussian graphical models

Dec 1, 2023, 16:00-17:00

Prof. Yuehan YANG, Central University of Finance and Economics

Room 225, Business School Building

Decorrelated forward regression for high dimensional generalized linear models

Dec 1, 2023, 11:00-12:00

Dr. Haofeng WANG, Hong Kong Baptist University

Room 314, Business School Building

Group Network Hawkes Process

Nov 30, 2023, 16:30-17:30

Prof. Yongtao GUAN, The Chinese University of Hong Kong, Shenzhen

Room 306, Lecture Hall 3

Proximity-gradient-subgradient Algorithms for a Class of Nonsmooth and Nonconvex Fractional Optimization Problems

Nov 30, 2023, 15:00-16:00

Prof. Qia LI, Sun Yat-sen University

Tencent Meeting ID: 452-163-334

Random matrix and Brownian motion

Nov 24, 2023, 16:20-17:20

Prof. Xiangdong LI, Academy of Mathematics and Systems Science, CAS

Room 209, Business School Building

Berry-Esseen bounds for Studentized U-statistics

Nov 23, 2023, 14:00-15:00

Dr. Dennis Leung, The University of Melbourne

Room 209, Business School Building

Multiple Augmented Reduced Rank Regression for Pan-Cancer Analysis

Nov 21, 2023, 16:00-17:00

Jiuzhou WANG, PhD Candidate University of Minnesota

Room 202, Lecture Hall 3

A power-robust test for global hypotheses in generalized linear models

Nov 9, 2023, 15:00-16:00

Prof. Yaowu LIU, Southwestern University of Finance and Economics

Room 210, Lecture Hall 3（Tencent Meeting ID: 763-616-906）

Biostatistics: Applications of Statistics in Biomedicine and Public Health

Nov 6, 2023, 11:00-12:00

Prof. Ming T. Tan, Georgetown University

Room 302, Lecture Hall 3

Decentralized Reduced Rank Regression for Response Partition

Nov 6, 2023, 10:00-11:00

Prof. Xiaojun MAO, Shanghai Jiao Tong University

Room 110, Business School Building

Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality

Nov 2, 2023, 14:00-15:00

Prof. Sai LI, Renmin University of China

Tencent Meeting ID: 617-880-651

Distributionally Robust Machine Learning with Multi-source Data

Oct 30, 2023, 10:00-11:00

Prof. Zijian GUO, Rutgers University

Tencent Meeting ID: 182-204-009

A General M-estimation Theory in Semi-Supervised Framework

Oct 27, 2023, 16:00-17:00

Prof. Yong ZHOU, East China Normal University

Room 402, Lecture Hall 3

In search of correct settings for ill-posed problems

Oct 25, 2023, 16:00-17:00

Prof. Evgeny Tyrtyshnikov, Moscow State University

Room 226, Business School Building

A Flexible Micro-Randomized Trial Design and Sample Size Considerations

Oct 23, 2023, 16:30-17:30

Dr. Jing XU, Duke-NUS Medical School, Singapore

Room 303, Lecture Hall 3