Book contents
- Frontmatter
- Contents
- Prologue
- Acknowledgments
- 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
- Appendix A Exponential Families
- Appendix B Data Sets and Programs
- References
- Index
References
Published online by Cambridge University Press: 05 September 2013
Book contents
- Frontmatter
- Contents
- Prologue
- Acknowledgments
- 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
- Appendix A Exponential Families
- Appendix B Data Sets and Programs
- References
- Index
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- Large-Scale InferenceEmpirical Bayes Methods for Estimation, Testing, and Prediction, pp. 251 - 257Publisher: Cambridge University PressPrint publication year: 2010