A first course in Bayesian statistical methods (Book, 2009) [WorldCat.org]
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A first course in Bayesian statistical methods

Author: Peter D Hoff
Publisher: New York ; London : Springer, ©2009.
Series: Springer texts in statistics.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and methods. The examples and computer code allow the reader to understand and implement basic Bayesian data analyses using  Read more...
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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Peter D Hoff
ISBN: 9780387922997 0387922997 9780387924076 0387924078 1441928286 9781441928283
OCLC Number: 310401109
Description: ix, 270 pages : illustrations ; 24 cm
Contents: Introduction and examples --
belief, probability and exchangeability --
One-parameter models --
Monte Carlo approximation --
the normal model --
Posterior approximation with the Gibbs sampler --
the multivariate normal model --
Group comparisons and hierarchical modeling --
Linear regression --
Nonconjugate priors and Metropolis-Hastings algorithms --
Linear and generalized linear mixed effects models --
Latent variable methods for ordinal data.
Series Title: Springer texts in statistics.
Responsibility: by Peter D. Hoff.

Abstract:

A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. The development of Monte Carlo and Markov chain Monte Carlo  Read more...

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From the reviews:This is an excellent book for its intended audience: statisticians who wish to learn Bayesian methods. Although designed for a statistics audience, it would also be a good book for Read more...

 
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