NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 13:30-13:55 | 13:30-13:55 | Invited Talk |
Mixture Survival Trees for Subgroup Discovery |
Donglin Zeng | University of Michigan |
2 | 13:55-14:20 | 13:55-14:20 | Invited Talk |
Auxiliary Variable-Assisted Regularized Estimation: Semi-Supervised Modeling with Multi-Wave Sampling |
Yong Chen | University of Pennsylvania |
3 | 14:20-14:45 | 14:20-14:45 | Invited Talk |
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations |
Zhenke Wu | University of Michigan, Ann Arbor |
4 | 14:45-15:10 | 14:45-15:10 | Invited Talk |
Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels |
Zexi Cai | Columbia University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 15:30-15:55 | 15:30-15:55 | Invited Talk |
Two-way latent matching model for network analysis |
Ting Li | Hong Kong Polytechnic University |
2 | 15:55-16:20 | 15:55-16:20 | Invited Talk |
A dynamic network autoregressive model for time-varying network-link data |
Jingnan Zhang | University of Science and Technology of China |
3 | 16:20-16:45 | 16:20-16:45 | Invited Talk |
A Semiparametric Regression Model for Spatiotemporal Processes with Nonseparable Covariance Structures |
Hui Huang | Renmin University of China |
4 | 16:45-17:10 | 16:45-17:10 | Invited Talk |
Change point detection for tensor data with low-rank and sparse structure |
Ning Wang | Beijing Normal University |