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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...
Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing
Optimal rates convergence null density proportion nonnull effects large-scale multiple testing
2010/3/9
An important estimation problem that is closely related to largescale
multiple testing is that of estimating the null density and the
proportion of nonnull effects. A few estimators have been introd...