11月15日 韩潇:Generalized Linear Spectral Statistics of High-dimensional Sample Covariance Matrices and Its Applications

时间:2024-11-08浏览:10设置

讲座题目:Generalized Linear Spectral Statistics of High-dimensional Sample Covariance Matrices and Its Applications

主讲人:韩潇 教授

主持人:马慧娟 副教授

开始时间:2024-11-15 15:00

讲座地址:普陀校区理科大楼A1514

主办单位:统计交叉科学研究院

报告人简介:

韩潇,中国科学技术大学管理学院特任教授,研究方向为大维随机矩阵;高维统计推断,入选国家创新人才计划青年项目,主持青年基金项目与面上基金项目各一项,教育部博士点基金等10余项资助(部分为资助项目主要参加者)。

报告内容:

In this paper, we introduce the Generalized Linear Spectral Statistics (GLSS) of a high-dimensional sample covariance matrix. The joint asymptotic normality of GLSS associated with different test functions is established when the dimension and the sample size are comparable under weak assumptions. Subsequently, we propose a novel functional projection approach based on GLSS for hypothesis testing on eigenspaces of population-spiked covariance matrices. The theoretical accuracy of our results established for GLSS and the advantages of the newly suggested testing procedure are demonstrated through various numerical studies.


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