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2024-07-12 星期五

A216-217

14:00-15:40 | Invited Session IS095: Modern Statistical Learning for High-Dimensional Data
编号 时间 类型 题目 讲者 单位
1 14:00-14:25 邀请报告

Adaptive Shrinkage Estimation for High-dimensional Change Point Detection

李迎星 厦门大学
2 14:25-14:50 邀请报告

A Unifying Dependent Combination Framework with Applications to Association Tests

Xiufan Yu University of Notre Dame
3 14:50-15:15 邀请报告

Communication-Efficient and Distributed-Oracle Estimation for High-Dimensional Quantile Regression

杨松山 中国人民大学
4 15:15-15:40 邀请报告

Efficient Learning of Directed Acyclic Graphs in Heavy-Tailed Data

周玮 西南财经大学
16:00-17:40 | Invited Session IS071: Statistical Inference for High-Dimensional Data
编号 时间 类型 题目 讲者 单位
1 16:00-16:25 邀请报告

Some Recent Results for P-Value Free FDR Controls

Jun Liu Harvard University
2 16:25-16:50 邀请报告

Enhancing Integrative Association Tests: Optimal Weighting Approaches in Whole-Genome Sequencing Studies

Zheyang Wu Worcester Polytechnic Institute
3 16:50-17:15 邀请报告

Detection and Statistical Inference on Informative Core and Periphery Structures in Weighted Directed Networks

Wen Zhou New York University