5 citations · 9 across the 6 of their papers we have counts for
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stat.ME2021★ 2 cited
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…
stat.ME2021★ 1 cited
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…
stat.ME2020★ 5 cited
Dating the Break in High-dimensional Data
Runmin Wang, Xiaofeng Shao
This paper is concerned with estimation and inference for the location of a change point in the mean of independent high-dimensional data. Our change point location estimator maxim…