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Tools for statistical inference : observed data and data augmentation methods

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Cover of 'Tools for statistical inference : observed data and data augmentation methods'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Problems & Techniques
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    Chapter 2 Observed Data Techniques-Normal Approximation
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    Chapter 3 Observed Data Techniques - Approximations Based on Numerical Integration, Laplace Expansions, Monte Carlo and Importance Sampling
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    Chapter 4 The EM Algorithm
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    Chapter 5 The Data Augmentation Algorithm
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    Chapter 6 The Gibbs Sampler
Attention for Chapter 1: Introduction to Problems & Techniques
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Citations

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