Estimating the number of equal components for two high-dimensional mean vectors

Wei Yu, Wangli Xu, Lixing ZHU*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this article, we propose a new method for estimating the number of equal components m0 of two m-dimensional population means when m is large. The proposed method can be used to estimate the number of equally expressed or differentially expressed genes in DNA microarray studies. It can also be applied in the step of estimating m0 in adaptive false discovery rate controlling procedures. Simulation results show that the bias of the moment estimator is very small for both normal and non normal data. It has higher precision than existing methods in most cases. It has more evident advantage under non normal data.

Original languageEnglish
JournalCommunications in Statistics - Theory and Methods
DOIs
Publication statusAccepted/In press - 2020

Scopus Subject Areas

  • Statistics and Probability

User-Defined Keywords

  • DNA microarray analysis
  • false discovery rate
  • high-dimensional data
  • Multiple hypothesis testing

Fingerprint

Dive into the research topics of 'Estimating the number of equal components for two high-dimensional mean vectors'. Together they form a unique fingerprint.

Cite this