第三届全国统计与数据科学联合会议

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2025-07-11 星期五

13:30-15:10 | IS021: Latent class modeling and missing data IS021: Latent class modeling and missing data

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编号	时间	类型	题目	讲者	单位
1	13:30-13:55	邀请报告	Mixture Survival Trees for Subgroup Discovery	Donglin Zeng	University of Michigan
		Invited Talk	Mixture Survival Trees for Subgroup Discovery	Donglin Zeng	University of Michigan
2	13:55-14:20	邀请报告	Auxiliary Variable-Assisted Regularized Estimation: Semi-Supervised Modeling with Multi-Wave Sampling	Yong Chen	University of Pennsylvania
		Invited Talk	Auxiliary Variable-Assisted Regularized Estimation: Semi-Supervised Modeling with Multi-Wave Sampling	Yong Chen	University of Pennsylvania
3	14:20-14:45	邀请报告	Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations	Zhenke Wu	University of Michigan, Ann Arbor
		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	邀请报告	Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels	Zexi Cai	Columbia University
		Invited Talk	Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels	Zexi Cai	Columbia University

15:30-17:10 | IS022: Advanced modelling techniques for complex structures IS022: Advanced modelling techniques for complex structures

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编号	时间	类型	题目	讲者	单位
1	15:30-15:55	邀请报告	Two-way latent matching model for network analysis	Ting Li	Hong Kong Polytechnic University
		Invited Talk	Two-way latent matching model for network analysis	Ting Li	Hong Kong Polytechnic University
2	15:55-16:20	邀请报告	A dynamic network autoregressive model for time-varying network-link data	张靖南	中国科学技术大学
		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	邀请报告	A Semiparametric Regression Model for Spatiotemporal Processes with Nonseparable Covariance Structures	黄　辉	中国人民大学
		Invited Talk	A Semiparametric Regression Model for Spatiotemporal Processes with Nonseparable Covariance Structures	Hui Huang	Renmin University of China
4	16:45-17:10	邀请报告	Minimax optimal High-dimensional One-Step t-estimation (HOST) in robust tensor regression	王　宁	北京师范大学
		Invited Talk	Change point detection for tensor data with low-rank and sparse structure	Ning Wang	Beijing Normal University

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