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

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.