Optimal and Maximin Procedures for Multiple Testing Problems

21 Nov 2018 Rosset Saharon Heller Ruth Painsky Amichai Aharoni Ehud

Multiple testing problems are a staple of modern statistical analysis. The fundamental objective of multiple testing procedures is to reject as many false null hypotheses as possible (that is, maximize some notion of power), subject to controlling an overall measure of false discovery, like family-wise error rate (FWER) or false discovery rate (FDR)... (read more)

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