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Monotone false discovery rate
- Issue Date
- Apr-2014
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- Adaptive decision rule; False discovery rate; Empirical Bayes methods; Mode matching; Isotonic regression
- Citation
- STATISTICS & PROBABILITY LETTERS, v.87, pp 86 - 93
- Pages
- 8
- Journal Title
- STATISTICS & PROBABILITY LETTERS
- Volume
- 87
- Start Page
- 86
- End Page
- 93
- ISSN
- 0167-7152
1879-2103
- Abstract
- 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.
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