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A Comparison of the Bayesian and Frequentist Approaches to Estimation

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Cover of 'A Comparison of the Bayesian and Frequentist Approaches to Estimation'

Table of Contents

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    Book Overview
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    Chapter 1 Point Estimation from a Decision-Theoretic Viewpoint
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    Chapter 2 An Overview of the Frequentist Approach to Estimation
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    Chapter 3 An Overview of the Bayesian Approach to Estimation
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    Chapter 4 The Threshold Problem
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    Chapter 5 Comparing Bayesian and Frequentist Estimators of a Scalar Parameter
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    Chapter 6 Conjugacy, Self-Consistency and Bayesian Consensus
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    Chapter 7 Bayesian vs. Frequentist Shrinkage in Multivariate Normal Problems
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    Chapter 8 Comparing Bayesian and Frequentist Estimators under Asymmetric Loss
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    Chapter 9 The Treatment of Nonidentifiable Models
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    Chapter 10 Improving on Standard Bayesian and Frequentist Estimators
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    Chapter 11 Combining Data from “Related” Experiments
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    Chapter 12 Fatherly Advice
Attention for Chapter 6: Conjugacy, Self-Consistency and Bayesian Consensus
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