第三届全国统计与数据科学联合会议

2025-07-11 星期五

13:30-15:10 | IS001: Causal inference in observational studies IS001: Causal inference in observational studies

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编号	时间	类型	题目	讲者	单位
1	13:30-13:50	邀请报告	Causal Inference with Negative Controls when many negative control exposures exist	贾金柱	Peking University
		Invited Talk	Causal Inference with Negative Controls when many negative control exposures exist	Jinzhu Jia	Peking University
2	13:50-14:10	邀请报告		邓　柯	清华大学
		Invited Talk	TBD	Ke Deng	Tsinghua University
3	14:10-14:30	邀请报告	TBD	Fan Xia	UCSF
		Invited Talk	TBD	Fan Xia	UCSF
4	14:30-14:50	邀请报告	Policy learning with pseudo-type classification	罗姗姗	北京工商大学
		Invited Talk	Policy learning with pseudo-type classification	Shanshan Luo	Beijing Technology and Business University
5	14:50-15:10	邀请报告	A generalized tetrad constraint for testing conditional independence given a latent variable	英乃文	北京大学
		Invited Talk	Causal inference for dyadic data with interference	Naiwen Ying	Peking University

15:30-17:10 | IS002: Recent advances in network research IS002: Recent advances in network research

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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	When can weak latent factors be statistically inferred?	Jianqing Fan	Princeton University
		Invited Talk	When can weak latent factors be statistically inferred?	Jianqing Fan	Princeton University
2	15:55-16:20	邀请报告	TBD	金加顺	东南大学
		Invited Talk	TBD	Jiashun Jin	Southeast University
3	16:20-16:45	邀请报告	A new spectral approach to dynamic network analysis	Tracy Ke	Harvard University
		Invited Talk	A new spectral approach to dynamic network analysis	Tracy Ke	Harvard University
4	16:45-17:10	邀请报告	Optimal Experimental Design for Neighborhood-Based Network Regression	Linglong Kong	University of Alberta
		Invited Talk	Optimal Experimental Design for Neighborhood-Based Network Regression	Linglong Kong	University of Alberta