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A nonparametric empirical Bayes framework for large-scale multiple testing
Dirichlet process marginal likelihood mixture model
2011/7/6
We propose a flexible and identifiable version of the two-groups model, motivated by hierarchical Bayes considerations, that features an empirical null and a semiparametric mixture model for the non-n...
An empirical Bayes mixture method for effect size and false discovery rate estimation
Empirical Bayes false discovery rate effect size estimation
2010/10/19
Many statistical problems involve data from thousands of parallel cases. Each case has some associated effect size, and most cases will have no effect. It is often important to estimate the effect siz...
Decision Approach and Empirical Bayes FCR-Controlling Interval for Mixed Prior Model
Decision Bayes Loss Function Simultaneous Intervals
2010/3/17
In this paper, I apply the decision theory and empirical Bayesian
approach to construct confidence intervals for selected populations when
true parameters follow a mixture prior distribution. A loss...
Microarrays，Empirical Bayes and the Two-Groups Model
Simultaneous tests empirical null false discoveryrates
2010/4/30
The classic frequentist theory of hypothesis testing developed
by Neyman, Pearson and Fisher has a claim to being the twentieth
century’s most influential piece of applied mathematics. Something
ne...
Comment：Microarrays，Empirical Bayes and the Two-Groups Model
Microarrays Empirical Bayes Two-Groups Model
2010/4/30
Efron has given us a comprehensive and thoughtful
review of his approach to large-scale testing stemming
from the challenges of analyzing microarray
data. Addressing the microarray challenge right ...
Rejoinder：Microarrays，Empirical Bayes and the Two-Groups Model
Rejoinder Microarrays Empirical Bayes Two-Groups Model
2010/4/30
The Fisher–Neyman–Pearson theory of hypothesis
testing was a triumph of mathematical elegance
and practical utility. It was never designed, though,
to handle 10,000 tests at once, and one can see c...
A multivariate empirical Bayes statistic for replicated microarray time course data
Microarray time course longitudinal multivariate empiricalBayes moderation gene ranking replication
2010/4/26
In this paper we derive one- and two-sample multivariate empirical
Bayes statistics (the MB-statistics) to rank genes in order of
interest from longitudinal replicated developmental microarray time
...