Events
Summer Workshops
| Dates |
Workshop title |
Speakers |
Links |
| June 10, 2025 |
HKU 2025 Summer Workshop on Statistics and Data Analytics |
Tony Cai, Rong Chen, Xi Chen, Yingying Fan, Yongmiao Hong, Gareth James, Junhui Wang |
link |
| June 3, 2024 |
HKU 2024 Summer Workshop on Statistics and Data Analytics |
Yongtao Guan, Iain Johnstone, Runze Li, Yingying Li, Qiman Shao, Min-ge Xie, Qiwei Yao |
link |
| July 5, 2023 |
HKU 2023 Summer Workshop on Statistics and Data Analytics |
Songxi Chen, Jiashun Jin, Regina Y. Liu, Annie Qu, Cunhui Zhang, Ji Zhu |
link |
Statistics Seminars in Acedemic Year 2024-2025
| Dates |
Speaker |
Speaker institution |
Seminar Title |
| Apr 30, 2025 |
Qiwei Yao |
The London School of Economics and Political Science |
Statistics in the age of AI: opportunities and challenges |
| Apr 29, 2025 |
Mladen Kolar |
University of Southern California |
Confidence Sets for Causal Orderings |
| Apr 9, 2025 |
Lancelot James |
The Hong Kong University of Science and Technology |
Inception of Ideas: A probabilistic view of Bayesian Nonparametrics – stickbreaking, Pitman-Yor Processes and the Poisson Calculus |
| Apr 2, 2025 |
Haipeng Shen |
The University of Hong Kong |
Inception of Ideas: Rise from the call center |
| Feb 26, 2025 |
Y. X. Rachel Wang |
University of Sydney |
Individual-centered partial information in social networks: from local views to global structure |
| Feb 18, 2025 |
Degui Li |
University of Macau |
Large-Scale Curve Time Series with Common Stochastic Trends |
| Jan 9, 2025 |
Wenxin Zhou |
University of Illinois Chicago |
Nonparametric Expected Shortfall Regression with Tail-Robustness |
| Dec 4, 2024 |
Emma Jingfei Zhang |
Emory University |
Preferential Latent Space Models for Networks with Textual Edges |
| Dec 3, 2024 |
Elynn Chen |
New York University |
Transfer Q-Learning |
| Sep 23, 2024 |
James Stephen Marron |
University of North Carolina |
Data Integration Via Analysis of Subspaces (DIVAS) |
| Sep 9, 2024 |
C. F. Jeff Wu |
Georgia Institute of Technology |
A hierarchical expected improvement method for Bayesian optimization |
Statistics Seminars in Acedemic Year 2023-2024
| Dates |
Speaker |
Speaker institution |
Seminar Title |
| Jun 19, 2024 |
Yingying Fan |
University of Southern California |
High-dimensional knockoffs inference for time series data |
| May 30, 2024 |
Runze Li |
Pennsylvania State University |
A New Test for high dimensional two-sample mean problems with consideration of correlation structure |
| May 22, 2024 |
Tengyuan Liang |
The University of Chicago |
Randomization Inference When N = 1 |
| Mar 22, 2024 |
Jian Huang |
The Hong Kong Polytechnic University |
A Bayesian Framework for Fine-Tuning Pretrained Diffusion Models |
| Mar 12, 2024 |
Pedro Oliveira |
Nova School of Business and Economics |
Unlocking Innovation in Healthcare: The Case of the Patient Innovation |
| Jan 30, 2024 |
Jing Ouyang |
University of Michigan |
Covariate-Adjusted Generalized Factor Analysis with Application to Testing Fairness |
| Jan 9, 2024 |
Hansheng Wang |
Peking university |
An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models |
| Nov 24, 2023 |
Jinchi Lv |
University of Southern California |
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors |
| Nov 17, 2023 |
Ming-Yen Cheng |
Hong Kong Baptist University |
Testing specification of distribution in stochastic frontier analysis |
| Nov 7, 2023 |
Zhenhua Lin |
National University of Singapore |
Statistical Inference for High-Dimensional and Functional Data via Bootstrapping |
| Oct 26, 2023 |
Jianqing Fan |
Princeton University |
Structural Deep Learning in Financial Asset Pricing |
Current Web maintainer: Lian Huan (lianh21@connect.hku.hk). Last update on Apr 25, 2025.