Large-Scale Inference

作者: Bradley Efron

DOI: 10.1017/CBO9780511761362

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摘要: Introduction and foreword 1. Empirical Bayes the James-Stein estimator 2. Large-scale hypothesis testing 3. Significance algorithms 4. False discovery rate control 5. Local false rates 6. Theoretical, permutation empirical null distributions 7. Estimation accuracy 8. Correlation questions 9. Sets of cases (enrichment) 10. Combination, relevance, comparability 11. Prediction effect size estimation A. Exponential families B. Programs data sets Bibliography Index.

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