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Monte Carlo Methods in Bayesian Computation

Overview of attention for book
Cover of 'Monte Carlo Methods in Bayesian Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Markov Chain Monte Carlo Sampling
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    Chapter 3 Basic Monte Carlo Methods for Estimating Posterior Quantities
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    Chapter 4 Estimating Marginal Posterior Densities
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    Chapter 5 Estimating Ratios of Normalizing Constants
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    Chapter 6 Monte Carlo Methods for Constrained Parameter Problems
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    Chapter 7 Computing Bayesian Credible and HPD Intervals
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    Chapter 8 Bayesian Approaches for Comparing Nonnested Models
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    Chapter 9 Bayesian Variable Selection
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    Chapter 10 Other Topics
Attention for Chapter 5: Estimating Ratios of Normalizing Constants
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