Bibliographic Information

Monte Carlo statistical methods

Christian P. Robert, George Casella

(Springer texts in statistics)

Springer, c2004

2nd ed [on demand]

Available at  / 4 libraries

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Note

Includes bibliographical references (p. [591]-622) and indexes

Description and Table of Contents

Description

We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.

Table of Contents

Introduction * Random Variable Generation * Monte Carlo Integration * Controlling Monte Carlo Variance * Monte Carlo Optimization * Markov Chains * The Metropolis-Hastings Algorithm * The Slice Sampler * The Two-Stage Gibbs Sampler * The Multi-Stage Gibbs Sampler * Variable Dimension Models and Reversible Jump * Diagnosing Convergence * Perfect Sampling * Iterated and Sequential Importance Sampling

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