POST HOC CONFIDENCE BOUNDS ON FALSE POSITIVES USING REFERENCE FAMILIES

成果类型:
Article
署名作者:
Blanchard, Gilles; Neuvial, Pierre; Roquain, Etienne
署名单位:
University of Potsdam; Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Mathematical Sciences (INSMI); Universite Federale Toulouse Midi-Pyrenees (ComUE); Universite de Toulouse; Institut National des Sciences Appliquees de Toulouse; Universite Toulouse III - Paul Sabatier; Sorbonne Universite; Centre National de la Recherche Scientifique (CNRS); Universite Paris Cite
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/19-AOS1847
发表日期:
2020
页码:
1281-1303
关键词:
discovery rate multiple tests PROPORTION inference selection intervals
摘要:
We follow a post hoc, user-agnostic approach to false discovery control in a large-scale multiple testing framework, as introduced by Genovese and Wasserman [J. Amer. Statist. Assoc. 101 (2006) 1408-1417], Goeman and Solari [Statist. Sci. 26 (2011) 584-597]: the statistical guarantee on the number of correct rejections must hold for any set of candidate items, possibly selected by the user after having seen the data. To this end, we introduce a novel point of view based on a family of reference rejection sets and a suitable criterion, namely the joint familywise error rate over that family (JER for short). First, we establish how to derive post hoc bounds from a given JER control and analyze some general properties of this approach. We then develop procedures for controlling the JER in the case where reference regions are p-value level sets. These procedures adapt to dependencies and to the unknown quantity of signal (via a step-down principle). We also show interesting connections to confidence envelopes of Meinshausen [Scand. J. Stat. 33 (2006) 227-237]; Genovese and Wasserman [J. Amer. Statist. Assoc. 101 (2006) 1408-1417], the closed testing based approach of Goeman and Solari [Statist. Sci. 26 (2011) 584-597] and to the higher criticism of Donoho and Jin [Ann. Statist. 32 (2004) 962-994]. Our theoretical statements are supported by numerical experiments.
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