NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Bayesian Quantile Regression with Big Data and Chang-Point Detection |
Keming Yu | Brunel University London |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Multistate modeling and structure selection for multi type recurrent events and terminal event |
Chuoxin Ma | |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Modelling biomarker variability in joint analysis of longitudinal and time-to-event data |
Chunyu Wang | MRC Biostatistics Unit, University of Cambridge |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Horseshoe prior for joint-mean covariance model in sparse high dimensional data |
Jiaming Shen |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Estimation and Inference with Summary Statistics and its Genetic Applications |
Hongzhe Li | University of Pennsylvania |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Are Decision Trees as Powerful as Neural Networks? |
Jason Klusowski | Princeton University |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Learning Matchings, Maps, and Trajectories |
Jonathan Niles-Weed | New York University |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Robust Inference for Federated Meta-Learning |
Zijian Guo | Rutgers |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Supervised Topic Modeling: Optimal Estimation and Statistical Inference |
Ruijia Wu | |
2 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Estimation and Inference in High-Dimensional Generalized Linear Models with Knowledge Transfer |
Linjun Zhang | Rutgers University |
3 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Theoretical Guarantees for Sparse Principal Component Analysis based on the Linear Manifold Approximation |
Haoyi Yang | The Pennsylvania State University |