Asymptotic Bayes’ optimality under sparsity for exchangeable dependent multivariate normal test statistics

Article Type

Research Article

Publication Title

Statistics and Probability Letters

Abstract

Here, we suggest a family of easy-to-implement multiple hypotheses testing rules that is asymptotically optimal for sparsely present alternatives when the tests are based on a vector of exchangeable and dependent test statistics jointly following a multivariate normal distribution.

DOI

10.1016/j.spl.2023.110030

Publication Date

4-1-2024

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