Frontiers of Statistical Decision Making and Bayesian Analysis

In Honor of James O. Berger


ISBN: 978-1-4419-6943-9 (Print) 978-1-4419-6944-6 (Online)
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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xxiii

  2. Book Chapter

    Pages 1-30


  3. Book Chapter

    Pages 31-68

    Objective Bayesian Inference with Applications

  4. Book Chapter

    Pages 69-112

    Bayesian Decision Based Estimation and Predictive Inference

  5. Book Chapter

    Pages 113-155

    Bayesian Model Selection and Hypothesis Tests

  6. Book Chapter

    Pages 157-184

    Bayesian Inference for Complex Computer Models

  7. Book Chapter

    Pages 185-217

    Bayesian Nonparametrics and Semi-parametrics

  8. Book Chapter

    Pages 219-256

    Bayesian Influence and Frequentist Interface

  9. Book Chapter

    Pages 257-284

    Bayesian Clinical Trials

  10. Book Chapter

    Pages 285-325

    Bayesian Methods for Genomics, Molecular and Systems Biology

  11. Book Chapter

    Pages 327-375

    Bayesian Data Mining and Machine Learning

  12. Book Chapter

    Pages 377-417

    Bayesian Inference in Political Science, Finance, and Marketing Research

  13. Book Chapter

    Pages 419-466

    Bayesian Categorical Data Analysis

  14. Book Chapter

    Pages 467-511

    Bayesian Geophysical, Spatial and Temporal Statistics

  15. Book Chapter

    Pages 513-553

    Posterior Simulation and Monte Carlo Methods

  16. Back Matter

    Pages 555-631