编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:55 | 邀请报告 |
Drawing inference from predicted data |
Jiwei Zhao | University of Wisconsin-Madison |
Invited Talk |
Drawing inference from predicted data |
Jiwei Zhao | University of Wisconsin-Madison | ||
2 | 13:55-14:20 | 邀请报告 |
Functional principal component analysis with informative observation times |
Peijun Sang | University of Waterloo |
Invited Talk |
Functional principal component analysis with informative observation times |
Peijun Sang | University of Waterloo | ||
3 | 14:20-14:45 | 邀请报告 |
Bias Correction and its Impact on Inference for Generalized Partially Linear Models |
Yuming Zhang | Harvard University |
Invited Talk |
Bias Correction and its Impact on Inference for Generalized Partially Linear Models |
Yuming Zhang | Harvard University | ||
4 | 14:45-15:10 | 邀请报告 |
Accurate Inference for Penalized Logistic Regression |
Stephane Guerrier | University of Geneva |
Invited Talk |
Accurate Inference for Penalized Logistic Regression |
Stephane Guerrier | University of Geneva |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:55 | 邀请报告 |
Inference on Potentially Identified Subgroups in Clinical Trials |
郭心舟 | 香港科技大学 |
Invited Talk |
Inference on Potentially Identified Subgroups in Clinical Trials |
Xinzhou Guo | The Hong Kong University of Science and Technology | ||
2 | 15:55-16:20 | 邀请报告 |
A Longitudinal Multi-Domain Latent Structure Model for Domain-specific Disease Progression |
康 凯 | 中山大学 |
Invited Talk |
A Longitudinal Multi-Domain Latent Structure Model for Domain-specific Disease Progression |
Kai Kang | Sun Yat-sen University | ||
3 | 16:20-16:45 | 邀请报告 |
Distributed Proportional Likelihood Ratio Model with Application to Data Integration Across Clinical Sites |
施家晟 | 香港中文大学(深圳) |
Invited Talk |
Distributed Proportional Likelihood Ratio Model with Application to Data Integration Across Clinical Sites |
Jiasheng Shi | The Chinese University of Hong Kong (Shenzhen) | ||
4 | 16:45-17:10 | 邀请报告 |
Deep Mutual Density Ratio Estimation with Bregman Divergence and its Applications |
韩东啸 | 南开大学 |
Invited Talk |
Deep Mutual Density Ratio Estimation with Bregman Divergence and its Applications |
Dongxiao Han | Nankai University |