On high-dimensional two sample mean testing statistics: a comparative study with a data adaptive choice of coefficient vector

DOI10.1007/s00180-015-0605-7zbMath1342.65040OpenAlexW1180271998MaRDI QIDQ736633

Jae Youn Ahn, Soeun Kim, Woo-Joo Lee

Publication date: 4 August 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-015-0605-7

zbMATH Keywords

high dimensioncoefficient vectordata adaptivetwo sample mean test

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Hypothesis testing in multivariate analysis (62H15)

Related Items (2)

High-dimensional general linear hypothesis testing under heteroscedasticity ⋮ Linear hypothesis testing in high-dimensional one-way MANOVA

Uses Software

• CAMERA

Cites Work

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• Random-set methods identify distinct aspects of the enrichment signal in gene-set analysis
• A two-sample test for high-dimensional data with applications to gene-set testing

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