统计与数据科学系系列学术报告之五百零七期

时    间：2026年4月1日（星期三）10:30-11:30

主持人：复旦大学 管理学院 统计与数据科学系 黎德元 教授

地    点：史带楼403室

报  告 人：Prof. Yongcheng Qi   祁永成教授 

University of Minnesota Duluth, USA  美国院校明尼苏达大学(杜鲁斯校区)

题  目：Maximum of Sparsely Equicorrelated Gaussian Fields and Applications

摘   要：We investigate the extreme values of a sparse and equicorrelated Gaussian field on a triangle: the correlations on every vertical or horizontal line are all equal to a parameter r∈[0,1/2] and are zero everywhere else. This problem is closely linked with various problems in high-dimensional statistics and extreme-value theory. We identify the threshold for r at which the standard Gumbel law breaks down. Our result is based on a subtle application of the Chen-Stein method for Poisson approximation. As applications, we resolve several questions that were left open in Heiny and Kleemann (2025), Tang, Lu and Xie (2022), and Fan and Jiang (2019).

个人简介：Dr. Yongcheng Qi is professor at Department of Mathematics and Statistics, University of Minnesota Duluth. He received a BS degree in Mathematics from Peking University in 1987 and PhD in Probability and Statistics in 1992. From 1994 to 1997, Dr Qi was an associate professor at Department of Probability and Statistics, Peking University. He obtained his PhD degree in Statistics from University of Georgia in 2001. His research interests include limit theorems in Probability and Statistics, empirical likelihood methods, high-dimensional statistics and theory of random matrices. Some of his papers were published in Annals of Statistics, Transactions of the American Mathematical Society, Journal of Theoretical Probability, Statistica Sinica, Scandinavian Journal of Statistics, Journal of Multivariate Analysis, Journal of Mathematical Physics, Insurance: Mathematics and Economics, Stochastic Processes and their Applications, Journal of Applied Probability, and Journal of Applied Statistics.

 统计与数据科学系

2026-3-26