False discovery rates and multiple testing

被引：1

作者：

Dey S. ^{[1
]}

Delampady M. ^{[1
]}

机构：

[1] Mohan Delampady, Statistics and Mathematics Unit Indian Statistical Institute, Bangalore, 560 059, RVCE Post

来源：

Resonance | 2013年 / 18卷 / 12期

关键词：

empirical Bayes; False discovery rate; FDR; hierarchical Bayes; high-dimensional problems; multiple testing; pFDR;

D O I：

10.1007/s12045-013-0137-9

中图分类号：

学科分类号：

摘要：

Statistical methods involving high-dimensional testing, i.e., a large number of simultaneous tests, have become important in recent days. Applications include microarrays, fMRI images and signal processing. Information that can be obtained by treating them as connected tests leads to the concept of discovery rates as well as to the Bayesian approach to hypothesis tests. It gives us great pleasure to honour Herbert Robbins who introduced the Empirical Bayes technique in statistical inference, which connects the frequentist and the Bayesian approaches in this problem. © 2013 Indian Academy of Sciences.

引用

页码：1095 / 1109

页数：14

共 5 条

[1] Efron B., Tibshirani R., Storey J.D., Tusher V., Empirical Bayes analysis of a microarray experiment, J. Amer. Statist. Assoc., 96, pp. 1151-1160, (2001)
[2] Benjamini Y., Hochberg Y., Controlling the false discovery rate: A practical and powerful approach to multiple testing, J. Roy. Statist. Soc. Ser. B, 57, pp. 289-300, (1995)
[3] Ghosal S., Roy A., Bayesian nonparametric approach to multiple testing, Perspectives in Mathematical Sciences - I, pp. 139-164, (2009)
[4] Delampady M., Krishnan T., Bayesian statistics, Resonance, 7, 4, pp. 27-38, (2002)
[5] Storey J.D., Adirect approach to false discovery rates, J. Roy. Statist. Soc. Ser. B, 64, pp. 479-498, (2002)

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