An empirical Bayes mixture method for effect size and false discovery rate estimation
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Publication:977646
DOI10.1214/09-AOAS276zbMath1189.62004arXiv1010.1425OpenAlexW3104206536MaRDI QIDQ977646
Publication date: 23 June 2010
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1010.1425
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Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses
- Microarrays, empirical Bayes and the two-groups model
- A mixture model approach for the analysis of microarray gene expression data.
- Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
- On optimality of Bayesian testimation in the normal means problem
- Estimation and confidence sets for sparse normal mixtures
- In-season prediction of batting averages: a field test of empirical Bayes and Bayes methodol\-ogies
- Adapting to unknown sparsity by controlling the false discovery rate
- Frequentist optimality of Bayesian wavelet shrinkage rules for Gaussian and non-Gaussian noise
- Adapting to Unknown Smoothness via Wavelet Shrinkage
- Ideal spatial adaptation by wavelet shrinkage
- Empirical Bayes Analysis of a Microarray Experiment
- A Direct Approach to False Discovery Rates
- Empirical Bayes Estimates for Large-Scale Prediction Problems
- Correlated z-Values and the Accuracy of Large-Scale Statistical Estimates
- Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons
- Large-Scale Simultaneous Hypothesis Testing
- Admissible Estimators, Recurrent Diffusions, and Insoluble Boundary Value Problems
- Detecting differential gene expression with a semiparametric hierarchical mixture method
- Comments on: Augmenting the bootstrap to analyze high dimensional genomic data
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