1 citations · 1 across the 4 of their papers we have counts for
4 papers
HDNRA: An R package for HDLSS location testing with normal-reference approaches
Pengfei Wang, Tianming Zhu, Jin-Ting Zhang
The challenge of location testing for high-dimensional data in statistical inference is notable. Existing literature suggests various methods, many of which impose strong regularit…
A fast and accurate kernel-based independence test with applications to high-dimensional and functional data
Jin-Ting Zhang, Tianming Zhu
Testing the dependency between two random variables is an important inference problem in statistics since many statistical procedures rely on the assumption that the two samples ar…
Two-sample Behrens--Fisher problems for high-dimensional data: a normal reference F-type test
Tianming Zhu, Pengfei Wang, Jin-Ting Zhang
The problem of testing the equality of mean vectors for high-dimensional data has been intensively investigated in the literature. However, most of the existing tests impose strong…
Two-Sample Test for High-Dimensional Covariance Matrices: a normal-reference approach
Jin-Ting Zhang, Jingyi Wang, Tianming Zhu
Testing the equality of the covariance matrices of two high-dimensional samples is a fundamental inference problem in statistics. Several tests have been proposed but they are eith…