Large-Scale Inference-Empirical BayesMethods for Estimation,Testing,Prediction by Bradley Efron eBook Free Download

 

Large-Scale Inference-Empirical BayesMethods for Estimation,Testing,Prediction by Bradley Efron eBook Free Download

Large-Scale Inference-Empirical BayesMethods for Estimation,Testing,Prediction by Bradley Efron eBook Free Download

Large-Scale Inference-Empirical BayesMethods for Estimation,Testing,Prediction by Bradley Efron eBook Free Download

 

Estimation,Testing,Prediction

 

Expansive Scale Inference:

We live in another age for factual surmising, where cutting edge logical innovation such as microarrays and fMRI machines routinely deliver thousands and once in a while a large number of parallel information sets, each with its own estimation or testing issue. Doing a large number of issues without a moment’s delay includes more than rehashed use of traditional systems.

Taking an observational Bayes approach, Bradley Efron, innovator of the bootstrap, demonstrates how data collects crosswise over issues in a way that consolidates Bayesian and frequentist thoughts. Estimation, testing, and expectation mix in this system, creating open doors for new procedures of expanded force. New challenges additionally emerge, effectively prompting defective surmisings. This book investigates both the guarantee and pitfalls of huge scale factual induction, with specific regard for false revelation rates, the best of the new factual procedures.

About the Author:

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 at the School of Medicine.

Contents:

  1. Exact Bayes and the James–Stein Estimator 1
  2. Huge Scale Hypothesis Testing 15
  3. Noteworthiness Testing Algorithms 30
  4. False Discovery Rate Control 46
  5. Nearby False Discovery Rates 70
  6. Hypothetical, Permutation, and Empirical Null Distributions 89
  7. Estimation Accuracy 113
  8. Relationship Questions 141
  9. Sets of Cases (Enrichment) 163
  10. Mix, Relevance, and Comparability 185
  11. Expectation and Effect Size Estimation 211
  12. Supplement An Exponential Families 243
  13. Supplement B Data Sets and Programs 2

Large-Scale Inference-Empirical BayesMethods for Estimation,Testing,Prediction by Bradley Efron eBook Free Download

 

Large-Scale Inference-Empirical BayesMethods for Estimation,Testing,Prediction by Bradley Efron eBook Free Download

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