Title: Subsampling techniques: Method, Design, and Applications

Abstract: Survey sampling is one of the most practiced areas of statistics. This lecture will center on the understanding of some basic survey sampling methods in analysis big data. In this talk, some state-of-the-art subsampling methods inspired by statistical design are summarized. Three types of designs, namely optimal design, orthogonal design, and space filling design, have shown their great potential in subsampling for different objectives. The relationships between experimental designs and the related subsampling approaches will be discussed.

简介：虞俊，北京理工大学助理教授、副研究员。主要从事试验设计、大数据抽样相关研究，在JASA、Statistica Sinica, JMLR，IEEE tPAMI, NeurIPS, ICML等顶级期刊，会议发表多篇学术论文。

报告时间：2024年9月12号 15：00-16：00

地点： 统计与数据科学学院会议室106