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Introducing Monte Carlo Methods with R

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Cover of 'Introducing Monte Carlo Methods with R'

Table of Contents

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    Book Overview
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    Chapter 1 Basic R Programming
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    Chapter 2 Random Variable Generation
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    Chapter 3 Monte Carlo Integration
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    Chapter 4 Controlling and Accelerating Convergence
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    Chapter 5 Monte Carlo Optimization
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    Chapter 6 Metropolis–Hastings Algorithms
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    Chapter 7 Gibbs Samplers
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    Chapter 8 Convergence Monitoring and Adaptation for MCMC Algorithms
Attention for Chapter 6: Metropolis–Hastings Algorithms
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