首届全国统计与数据科学联合会议

10:30-12:10 | Invited Session 25: Bayesian learning for precision matrix and graphical models

主席：

编号	时间	类型	题目	讲者	单位
1	10:30-10:55	邀请报告	Bayesian Quantile Regression with Big Data and Chang-Point Detection	Keming Yu	Brunel University London
2	10:55-11:20	邀请报告	Multistate modeling and structure selection for multi type recurrent events and terminal event	马绰欣	北京师范大学-香港浸会大学联合国际学院
3	11:20-11:45	邀请报告	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	邀请报告	Horseshoe prior for joint-mean covariance model in sparse high dimensional data	沈家铭	华为技术有限公司

14:00-15:40 | Invited Session 32: Recent advances in machine learning and high-dimensional statistics

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组织者：

编号	时间	类型	题目	讲者	单位
1	14:00-14:25	邀请报告	Estimation and Inference with Summary Statistics and its Genetic Applications	Hongzhe Li	University of Pennsylvania
2	14:25-14:50	邀请报告	Are Decision Trees as Powerful as Neural Networks?	Jason Klusowski	Princeton University
3	14:50-15:15	邀请报告	Learning Matchings, Maps, and Trajectories	Jonathan Niles-Weed	New York University
4	15:15-15:40	邀请报告	Robust Inference for Federated Meta-Learning	Zijian Guo	Rutgers

16:00-17:40 | Invited Session 39: Statistical Perspectives on Recent Advances in Machine Learning

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组织者：

编号	时间	类型	题目	讲者	单位
1	16:25-16:50	邀请报告	Supervised Topic Modeling: Optimal Estimation and Statistical Inference	吴瑞佳	上海交通大学
2	16:50-17:15	邀请报告	Estimation and Inference in High-Dimensional Generalized Linear Models with Knowledge Transfer	Linjun Zhang	Rutgers University
3	17:15-17:40	邀请报告	Theoretical Guarantees for Sparse Principal Component Analysis based on the Linear Manifold Approximation	Haoyi Yang	The Pennsylvania State University

2023-07-12 星期三