Runmin Wang

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20192023

most citedHigh-dimensional Change-point Detection Using Generalized Homogeneity Metrics

8 citations · 20 across the 11 of their papers we have counts for

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2 papers · 1 filter

math.ST2023★ 1 cited

Adaptive Testing for High-dimensional Data

Yangfan Zhang, Runmin Wang, Xiaofeng Shao

In this article, we propose a class of $L_{q}$ -norm based U-statistics for a family of global testing problems related to high-dimensional data. This includes testing of mean vector…

math.ST2019

Inference for Change Points in High Dimensional Data via Self-Normalization

Runmin Wang, Changbo Zhu, Stanislav Volgushev +1

This article considers change point testing and estimation for a sequence of high-dimensional data. In the case of testing for a mean shift for high-dimensional independent data, w…