| NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
|---|---|---|---|---|---|---|
| 1 | 10:35-10:55 | 10:35-10:55 | Invited Talk |
TBD |
Yiqun Chen | Johns Hopkins University |
| 2 | 10:55-11:15 | 10:55-11:15 | Invited Talk |
Latent Space Modeling for Human Disease Network with Temporal Variations: Analysis of Medicare Data |
Hao Mei | Renmin University of China |
| 3 | 11:15-11:35 | 11:15-11:35 | Invited Talk |
Causal effect heterogeneity estimation using summary statistics |
Xingjie Shi | East China Normal University |
| 4 | 11:35-11:55 | 11:35-11:55 | Invited Talk |
Statistical Inference for Random Objects |
Hang Zhou | UNC Chape Hill |
| NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
|---|---|---|---|---|---|---|
| 1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
High-dimensional Inference for Extreme Value Indices |
Liujun Chen | University of Science and Technology of China |
| 2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Asymptotic Theory and Penalized Estimation for Signal-plus-Noise Matrices with Heteroskedastic Noise and Weak Signals |
Zhixiang Zhang | University of Macau |
| 3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Probabilistic PCA on tensors |
Yaoming Zhen | The Chinese University of Hong Kong,Shenzhen |
| NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
|---|---|---|---|---|---|---|
| 1 | 15:50-16:10 | 15:50-16:10 | Invited Talk |
Wasserstein Generative Regression |
Shanshan Song | Tongji University |
| 2 | 16:10-16:30 | 16:10-16:30 | Invited Talk |
A robust and scalable framework for high-dimensional volatility estimation |
Qianqian Zhu | Shanghai University of Finance and Economics |
| 3 | 16:30-16:50 | 16:30-16:50 | Invited Talk |
High-dimensional autoregressive time series modeling for symmetric matrices |
Huiling Yuan | East China Normal University |
| 4 | 16:50-17:10 | 16:50-17:10 | Invited Talk |
High-dimensional Autoregressive Modeling for Time Series Data with Hierarchical Structures |
Lan Li | The University of Hong Kong |