首届全国统计与数据科学联合会议

11:00-12:40 | Invited Session 1: Causal Inference and its credibility

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编号	时间	类型	题目	讲者	单位
1	11:00-11:25	邀请报告	Convergence and Implicit Regularization of Deep Learning Optimizers	陈薇	中科院计算所
2	11:25-11:50	邀请报告	Covariate adjustment in multi-armed, possibly factorial experiments	Peng Ding	University of California Berkeley
3	11:50-12:15	邀请报告	An instrumental variable method for point processes	蒋智超	中山大学
4	12:15-12:40	邀请报告	Introducing the specificity score: a measure of causality beyond P value	苗旺	北京大学

14:00-15:40 | Invited Session 8: Inference and Optimization in High-dimension Statistical Learning

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编号	时间	类型	题目	讲者	单位
1	14:00-14:25	邀请报告	Privacy preserving decentralized learning	孔令臣	北京交通大学
2	14:25-14:50	邀请报告	Huber Principal Component Analysis for Large-dimensional Factor Models	YONG HE	Shanong University
3	14:50-15:15	邀请报告	Score function-based tests for ultrahigh-dimensional linear models	郭旭	北京师范大学
4	15:15-15:40	邀请报告	Model-free screening procedure for ultrahigh-dimensional survival data based on Hilbert-Schmidt independence criterion	张婧	中南财经政法大学

16:00-17:40 | Invited Session 15: Recent advance in statistical inference on high-dimensional data and applications

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组织者：

编号	时间	类型	题目	讲者	单位
1	16:00-16:25	邀请报告	Mapping the Marginalized Groups with Presence-Only Data	Le Bao	Penn State University
2	16:25-16:50	邀请报告	Lagrangian Inference for Ranking Problems	Xingyuan Fang	Duke University
3	16:50-17:15	邀请报告	Multiple-Splitting Projection Test for High-Dimensional Mean Vectors	Xiufan Yu	University of Notre Dame
4	17:15-17:40	邀请报告	Model-Free Conditional Feature Screening with FDR Control	Runze Li	Pennsylvania State University

2023-07-11 星期二