1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.AP2024
Test for high-dimensional linear hypothesis of mean vectors via random integration
Jianghao Li, Shizhe Hong, Zhenzhen Niu +1
In this paper, we investigate hypothesis testing for the linear combination of mean vectors across multiple populations through the method of random integration. We have establishe…
stat.AP2024
Simultaneous test of the mean vectors and covariance matrices for high-dimensional data using RMT
Zhenzhen Niu, Jianghao Li, Wenya Luo +1
In this paper, we propose a new modified likelihood ratio test (LRT) for simultaneously testing mean vectors and covariance matrices of two-sample populations in high-dimensional s…
math.ST2024★ 1 cited
Test for high-dimensional mean vectors via the weighted -norm
Jianghao Li, Zhenzhen Niu, Shizhe Hong +1
In this paper, we propose a novel approach to test the equality of high-dimensional mean vectors of several populations via the weighted -norm. We establish the asymptotic nor…