Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and…

Hardcover | September 18, 1998

byMartin A. Tanner, Tanner

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A unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. This third edition expands the discussion of many of the techniques presented, and includes additional examples as well as exercise sets at the end of each chapter.

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A unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. This third edition expands the discussion of many of the techniques presented, and includes additional examples as well as exercise sets at the end of each chapter.

Format:HardcoverDimensions:220 pages, 9.21 × 6.14 × 0.27 inPublished:September 18, 1998Publisher:Springer New York

The following ISBNs are associated with this title:

ISBN - 10:0387946888

ISBN - 13:9780387946887

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Table of Contents

Introduction.- Normal Approximations to Likelihoods and to Posteriors.- Nonnormal Approximations to Likelihoods and Posteriors.- The EM Algorithm.- The Data Augmentation Algorithm.- Markov Chain Monte Carlo: The Gibbs Sampler and the Metropolis Algorithm.- References.- Index.