14 citations · 25 across the 7 of their papers we have counts for
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stat.ME2024
Hypothesis Testing for High-Dimensional Matrix-Valued Data
Shijie Cui, Danning Li, Runze Li +1
This paper addresses hypothesis testing for the mean of matrix-valued data in high-dimensional settings. We investigate the minimum discrepancy test, originally proposed by Cragg (…
stat.ME2024
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
Danning Li, Lingzhou Xue, Haoyi Yang +1
Testing differences in mean vectors is a fundamental task in the analysis of high-dimensional compositional data. Existing methods may suffer from low power if the underlying signa…
stat.ME2021
Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing
Xiufan Yu, Danning Li, Lingzhou Xue +1
Power-enhanced tests with high-dimensional data have received growing attention in theoretical and applied statistics in recent years. Existing tests possess their respective high-…