A Comparison of the Bayesian and Frequentist Approaches to Estimation

Authors:

ISBN: 978-1-4419-5940-9 (Print) 978-1-4419-5941-6 (Online)

Table of contents (12 chapters)

  1. Front Matter

    Pages I-XIII

  2. No Access

    Book Chapter

    Pages 1-13

    Point Estimation from a Decision-Theoretic Viewpoint

  3. No Access

    Book Chapter

    Pages 15-31

    An Overview of the Frequentist Approach to Estimation

  4. No Access

    Book Chapter

    Pages 33-60

    An Overview of the Bayesian Approach to Estimation

  5. No Access

    Book Chapter

    Pages 61-76

    The Threshold Problem

  6. No Access

    Book Chapter

    Pages 77-98

    Comparing Bayesian and Frequentist Estimators of a Scalar Parameter

  7. No Access

    Book Chapter

    Pages 99-113

    Conjugacy, Self-Consistency and Bayesian Consensus

  8. No Access

    Book Chapter

    Pages 115-122

    Bayesian vs. Frequentist Shrinkage in Multivariate Normal Problems

  9. No Access

    Book Chapter

    Pages 123-134

    Comparing Bayesian and Frequentist Estimators under Asymmetric Loss

  10. No Access

    Book Chapter

    Pages 135-156

    The Treatment of Nonidentifiable Models

  11. No Access

    Book Chapter

    Pages 157-171

    Improving on Standard Bayesian and Frequentist Estimators

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    Book Chapter

    Pages 173-192

    Combining Data from “Related” Experiments

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    Book Chapter

    Pages 193-210

    Fatherly Advice

  14. Back Matter

    Pages 211-225