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  • Introduction and foreword; 1. Empirical Bayes and the James-Stein estimator; 2. Large-scale hypothesis testing; 3. Significance testing algorithms; 4. False discovery rate control; 5. Local false discovery rates; 6. Theoretical, permutation and empirical null distributions; 7. Estimation accuracy; 8. Correlation questions; 9. Sets of cases (enrichment); 10. Combination, relevance, and comparability; 11. Prediction and effect size estimation; A. Exponential families; B. Programs and data sets; Bibliography; Index. (xsd:string)
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  • 2010 (xsd:gyear)
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  • 2010 (xsd:gyear)
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  • Englisch (EN) (xsd:string)
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  • 9780521192491 ()
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  • Large-scale inference : empirical Bayes methods for estimation, testing, and prediction (xsd:string)
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  • Buch (de)
  • Monographie (xsd:string)
  • book (en)
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  • Cambridge: Cambridge Univ. Press, 2010.- 263 S, Ill., graph. Darst. (xsd:string)
  • GESIS-BIB (xsd:string)
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