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Large-Scale Inference
Empirical Bayes Methods for Estimation, Testing, and Prediction
Langbeschreibung
Bradley Efron explains how to perform thousands of simultaneous estimates and tests, as required by new scientific technology.
Inhaltsverzeichnis
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.
Bradley Efron is Max H. Stein Professor of Statistics and Biostatistics at the Stanford University School of Humanities and Sciences, and the Department of Health Research and Policy with the School of Medicine.
ISBN-13:
9781107619678
Veröffentl:
2014
Erscheinungsdatum:
28.02.2014
Seiten:
276
Autor:
Bradley Efron
Gewicht:
404 g
Format:
229x152x15 mm
Sprache:
Englisch
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