126 citations · 262 across the 32 of their papers we have counts for
4 papers · 1 filter
Two Sample Testing in High Dimension via Maximum Mean Discrepancy
Hanjia Gao, Xiaofeng Shao
Maximum Mean Discrepancy (MMD) has been widely used in the areas of machine learning and statistics to quantify the distance between two distributions in the -dimensional Euclid…
Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data
Daisuke Kurisu, Kengo Kato, Xiaofeng Shao
In this paper, we establish a high-dimensional CLT for the sample mean of -dimensional spatial data observed over irregularly spaced sampling sites in , allowing t…
Adaptive Inference for Change Points in High-Dimensional Data
Yangfan Zhang, Runmin Wang, Xiaofeng Shao
In this article, we propose a class of test statistics for a change point in the mean of high-dimensional independent data. Our test integrates the U-statistic based approach in a…
Adaptive Change Point Monitoring for High-Dimensional Data
Teng Wu, Runmin Wang, Hao Yan +1
In this paper, we propose a class of monitoring statistics for a mean shift in a sequence of high-dimensional observations. Inspired by the recent U-statistic based retrospective t…