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Bayesian modeling using WinBUGS
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Bayesian modeling using WinBUGS

Author: Ioannis Ntzoufras
Publisher: Hoboken, N.J. : Wiley, ©2009.
Series: Wiley series in computational statistics.
Edition/Format:   Book : EnglishView all editions and formats
Summary:
This book provides an introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings.--[book cover]
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Ioannis Ntzoufras
ISBN: 9780470141144 047014114X
OCLC Number: 237048398
Description: xxiii, 492 p. : ill. ; 25 cm.
Contents: Introduction to Bayesian inference --
Markov chain Monte Carlo algorithms in Bayesian inference --
WinBUGS software : introduction, setup, and basic analysis --
WinBUGS software : illustration, results, and further analysis --
Introduction to Bayesian models : normal models --
Incorporating categorical variables in normal models and further modeling issues --
Introduction to generalized linear models : binomial and Poisson data --
Models for positive continuous data, count data, and other GLM-based extensions --
Bayesian hierarchical models --
The predictive distribution and model checking --
Bayesian model and variable evaluation --
Appendix A : Model specification via directed acyclic graphs : the DOODLE menu --
Appendix B : The batch mode : running a model in the background using scripts --
Appendix C : Checking convergence using CODA/BOA --
Appendix D : Notation summary.
Series Title: Wiley series in computational statistics.
Responsibility: Ioannis Ntzoufras.
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Abstract:

* Detailed examples will be provided ranging from the very basic to the more advanced; they will also reflect realistic data sets (available from the Internet). * An underlying emphasis is given to  Read more...

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