1 citations · 1 across the 4 of their papers we have counts for
4 papers
High-Dimensional Two-Sample Inference via Marginal Likelihood-Ratio Rank Statistics
Xiaoxu Zhang, Long Feng
We develop a rank-based framework for high-dimensional two-sample testing that detects marginal distributional differences beyond means and variances. Three marginal likelihood-rat…
High-Dimensional Hettmansperger-Randles Estimator and its Applications
Guowei Yan, Long Feng, Xiaoxu Zhang
The classic Hettmansperger-Randles Estimator has found extensive use in robust statistical inference. However, it cannot be directly applied to high-dimensional data. In this paper…
Adaptive Sphericity Tests for High Dimensional Data
Ping Zhao, Wenwan Yang, Long Feng +1
In this paper, we investigate sphericity testing in high-dimensional settings, where existing methods primarily rely on sum-type test procedures that often underperform under spars…
High Dimensional Spatial Rank Test for Two-Sample Location Problem
Long Feng
This article concerns tests for the two-sample location problem when the dimension is larger than the sample size. The traditional multivariate-rank-based procedures cannot be used…