Empirical null and false discovery rate inference for exponential families

DOI10.1214/08-AOAS184zbMath1158.62047arXiv0901.4007OpenAlexW3104338898MaRDI QIDQ999664

Armin Schwartzman

Publication date: 10 February 2009

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0901.4007

zbMATH Keywords

Poisson regressionmultiple comparisonsmultiple testingmixture modelgenome-wide associationbrain imaging

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Order statistics; empirical distribution functions (62G30) Paired and multiple comparisons; multiple testing (62J15)

Related Items (8)

False discovery rate control with unknown null distribution: is it possible to mimic the oracle? ⋮ On improving some adaptive BH procedures controlling the FDR under dependence ⋮ Adaptive local false discovery rate procedures for highly spiky data and their application RNA sequencing data of yeast SET4 deletion mutants ⋮ An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices ⋮ Monotone false discovery rate ⋮ An empirical Bayes approach for the identification of long-range chromosomal interaction from Hi-C data ⋮ Nonparametric false discovery rate control for identifying simultaneous signals ⋮ Estimation of linear projections of non-sparse coefficients in high-dimensional regression

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