Testing multiple null hypotheses in two stages to decide which of these can be rejected or accepted at the first stage and which should be followed up for further testing having had additional ...

False discovery rate (FDR) control has become an essential tool in the analysis of high-dimensional data, where thousands or millions of simultaneous hypotheses are tested. The aim is to limit the ...

This paper considers Bayesian multiple testing under sparsity for polynomial-tailed distributions satisfying a monotone likelihood ratio property. Included in this class of distributions are the ...