Spatial-Sign based Maxsum Test for High Dimensional Location Parameters

Fuente: arXiv
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Autores principales: Liu, Jixuan, Feng, Long, Zhao, Ping, Wang, Zhaojun
Formato: Preprint
Publicado: 2024
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author Liu, Jixuan
Feng, Long
Zhao, Ping
Wang, Zhaojun
author_facet Liu, Jixuan
Feng, Long
Zhao, Ping
Wang, Zhaojun
contents In this study, we explore a robust testing procedure for the high-dimensional location parameters testing problem. Initially, we introduce a spatial-sign based max-type test statistic, which exhibits excellent performance for sparse alternatives. Subsequently, we demonstrate the asymptotic independence between this max-type test statistic and the spatial-sign based sum-type test statistic (Feng and Sun, 2016). Building on this, we propose a spatial-sign based max-sum type testing procedure, which shows remarkable performance under varying signal sparsity. Our simulation studies underscore the superior performance of the procedures we propose.
format Preprint
id arxiv_https___arxiv_org_abs_2402_01381
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Spatial-Sign based Maxsum Test for High Dimensional Location Parameters
Liu, Jixuan
Feng, Long
Zhao, Ping
Wang, Zhaojun
Methodology
In this study, we explore a robust testing procedure for the high-dimensional location parameters testing problem. Initially, we introduce a spatial-sign based max-type test statistic, which exhibits excellent performance for sparse alternatives. Subsequently, we demonstrate the asymptotic independence between this max-type test statistic and the spatial-sign based sum-type test statistic (Feng and Sun, 2016). Building on this, we propose a spatial-sign based max-sum type testing procedure, which shows remarkable performance under varying signal sparsity. Our simulation studies underscore the superior performance of the procedures we propose.
title Spatial-Sign based Maxsum Test for High Dimensional Location Parameters
topic Methodology
url https://arxiv.org/abs/2402.01381