Multiple testing along a tree

Abstract

Suitable sequentially rejective multiple test procedures allow to “zoom in” on clusters of relevant variables in high-dimensional regression (Meinshausen [7]), or on regions of interest in some search space (Heinrich et al. [3]; Meinshausen et al. [8]). As a common framework for these schemes we propose to consider multiple testing along a tree of hypotheses together with a “keep rejecting until first acceptance” rule. Particular topics addressed in this note are control of the familywise error, and some variants and basic properties of the procedure. © 2010, Institute of Mathematical Statistics. All rights reserved.