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초록
This paper proposes a procedure to obtain monotone estimates of both the local and the tail false discovery rates that arise in large-scale multiple testing. The proposed monotonization is asymptotically optimal for controlling the false discovery rate and also has many attractive finite-sample properties. (C) 2013 Elsevier B.V. All rights reserved.
키워드
Adaptive decision rule; False discovery rate; Empirical Bayes methods; Mode matching; Isotonic regression; CLASSIFICATION
- 제목
- Monotone false discovery rate
- 저자
- Won, Joong-Ho; Lim, Johan; Yu, Donghyeon; Kim, Byung Soo; Kim, Kyunga
- 발행일
- 2014-04
- 유형
- Article
- 권
- 87
- 페이지
- 86 ~ 93