activity
20142024
most citedBootstrapping High Dimensional Time Series

27 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Subsampling-based Tests in Mediation Analysis

Asmita Roy, Huijuan Zhou, Ni Zhao +1

Testing for mediation effect poses a challenge since the null hypothesis (i.e., the absence of mediation effects) is composite, making most existing mediation tests quite conservat…

stat.ME2023

Batch effect correction with sample remeasurement in highly confounded case-control studies

Hanxuan Ye, Xianyang Zhang, Chen Wang +2

Batch effects are pervasive in biomedical studies. One approach to address the batch effects is repeatedly measuring a subset of samples in each batch. These remeasured samples are…

stat.ME2023

Joint Mirror Procedure: Controlling False Discovery Rate for Identifying Simultaneous Signals

Linsui Deng, Kejun He, Xianyang Zhang

In many applications, the process of identifying a specific feature of interest often involves testing multiple hypotheses for their joint statistical significance. Examples includ…

stat.ME2023

High Dimensional Analysis of Variance in Multivariate Linear Regression

Zhipeng Lou, Xianyang Zhang, Wei Biao Wu

In this paper, we develop a systematic theory for high dimensional analysis of variance in multivariate linear regression, where the dimension and the number of coefficients can bo…

math.ST201427 cited

Bootstrapping High Dimensional Time Series

Xianyang Zhang, Guang Cheng

This article studies bootstrap inference for high dimensional weakly dependent time series in a general framework of approximately linear statistics. The following high dimensional…