25 citations · 31 across the 13 of their papers we have counts for
6 papers · 1 filter
Optimal Sign Test for High Dimensional Location Parameters
Long Feng
This article concerns tests for location parameters in cases where the data dimension is larger than the sample size. We propose a family of tests based on the optimality arguments…
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…
Spatial-Sign based High-Dimensional Location Test
Long Feng, Fasheng Sun
In this paper, we consider the problem of testing the mean vector in the high dimensional settings. We proposed a new robust scalar transform invariant test based on spatial sign.…
A Note on High Dimensional Two Sample Mean Test
Long Feng, Fasheng Sun
In this paper, we propose a new scalar and shift transform invariant test statistic for the high-dimensional two-sample location test. The expectation of our test is exactly zero u…
High Dimensional Rank Tests for Sphericity
Long Feng
Sphericity test plays a key role in many statistical problems. We propose Spearman's rho-type rank test and Kendall's tau-type rank test for sphericity in the high dimensional sett…
Scalar-Invariant Test for High-Dimensional Regression Coefficients
Long Feng
This article is concerned with simultaneous tests on linear regression coefficients in high-dimensional settings. When the dimensionality is larger than the sample size, the classi…