Powerful multiple testing of paired null hypotheses using a latent graph model
Author:
Affiliation:
1. Laboratoire de Probabilités, Statistique et Modélisation Sorbonne Université, Université de Paris & CNRS, 4, place Jussieu, 75005 Paris, France
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference50 articles.
1. J.-J. Daudin, F. Picard, and S. Robin. A mixture model for random graphs. Statistics and Computing, 18(2):173–183, 2008.
2. Christopher Aicher, Abigail Z. Jacobs, and Aaron Clauset. Learning latent block structure in weighted networks. Journal of Complex Networks, 3(2):221–248, 06 2014.
3. Elizabeth S. Allman, Catherine Matias, and John A. Rhodes. Parameter identifiability in a class of random graph mixture models. Journal of Statistical Planning and Inference, 141(5):1719–1736, 2011.
4. Albert-László Barabási and Réka Albert. Emergence of scaling in random networks. Science, 286(5439):509–512, 1999.
5. Yoav Benjamini and Yosef Hochberg. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Roy. Statist. Soc. Ser. B, 57(1):289–300, 1995.
Cited by 2 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. False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q -values;Journal of the American Statistical Association;2024-07-08
2. Conformal link prediction for false discovery rate control;TEST;2024-06-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3