1 citations · 4 across the 8 of their papers we have counts for
8 papers
Testing for high-dimensional white noise
Long Feng, Binghui Liu, Yanyuan Ma
Testing for multi-dimensional white noise is an important subject in statistical inference. Such test in the high-dimensional case becomes an open problem waiting to be solved, esp…
Sparse Kronecker Product Decomposition: A General Framework of Signal Region Detection in Image Regression
Sanyou Wu, Long Feng
This paper aims to present the first Frequentist framework on signal region detection in high-resolution and high-order image regression problems. Image data and scalar-on-image re…
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…