A semiparametric mixture method for local false discovery rate estimation from multiple studies
Author:
Affiliation:
1. Department of Statistics. Hankuk University of Foreign Studies
2. OHSU-PSU School of Public Health, Oregon Health & Science University
3. Department of Statistics, Seoul National University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability
Link
https://projecteuclid.org/download/pdfview_1/euclid.aoas/1600454864
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Double truncation method for controlling local false discovery rate in case of spiky null;Computational Statistics;2024-06-05
2. Maximum likelihood estimation of the log-concave component in a semi-parametric mixture with a standard normal density;Journal of Statistical Planning and Inference;2024-05
3. Local false discovery rate estimation with competition‐based procedures for variable selection;Statistics in Medicine;2023-11-05
4. Semi-parametric hidden Markov model for large-scale multiple testing under dependency;Statistical Modelling;2022-09-27
5. Adaptive local false discovery rate procedures for highly spiky data and their application RNA sequencing data of yeast SET4 deletion mutants;Biometrical Journal;2021-07-28
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