We consider a multiple hypothesis testing setting where the hypotheses are ordered and one is only permitted to reject an initial contiguous block, H 1 , . . . , H k , of hypotheses. A rejection rule in this setting amounts to a procedure for choosing the stopping point k. This setting is inspired by the sequential nature of many model selection problems, where choosing a stopping point or a model is equivalent to rejecting all hypotheses up to that point and none thereafter. We propose two new testing procedures, and prove that they control the false discovery rate in the ordered testing setting. We also show how the methods can be applied to model selection using recent results on p-values in sequential model selection settings.
In this context, REF develops two rules (FowardStop and StrongStop) to choose the number of hypotheses to reject which are shown to control the FDR.
Sequential Selection Procedures and False Discovery Rate Control
arXiv: Statistics Theory
Mathematics