Robbins, empirical Bayes and microarrays
Open Access
- 1 April 2003
- journal article
- Published by Institute of Mathematical Statistics in The Annals of Statistics
- Vol. 31 (2) , 366-378
- https://doi.org/10.1214/aos/1051027871
Abstract
Empirical Bayes was Herbert Robbins' most influential contribution to statistical theory. It is also an idea of great practical potential. That potential is realized in the analysis of microarrays, a new biogenetic technology for the simultaneous measurement of thousands of gene expression levels.Keywords
This publication has 16 references indexed in Scilit:
- Operating Characteristics and Extensions of the False Discovery Rate ProcedureJournal of the Royal Statistical Society Series B: Statistical Methodology, 2002
- The control of the false discovery rate in multiple testing under dependencyThe Annals of Statistics, 2001
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences, 2001
- On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray DataJournal of Computational Biology, 2001
- Did Shakespeare write a newly-discovered poem?Biometrika, 1987
- Estimating the number of unseen species: How many words did Shakespeare know?Biometrika, 1976
- The Efficiency of Logistic Regression Compared to Normal Discriminant AnalysisJournal of the American Statistical Association, 1975
- Stein's Estimation Rule and Its Competitors--An Empirical Bayes ApproachJournal of the American Statistical Association, 1973
- THE NUMBER OF NEW SPECIES, AND THE INCREASE IN POPULATION COVERAGE, WHEN A SAMPLE IS INCREASEDBiometrika, 1956
- Asymptotic Solutions of the Compound Decision Problem for Two Completely Specified DistributionsThe Annals of Mathematical Statistics, 1955