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E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/237048398 Title: Bayesian modeling using WinBUGS Author: Ioannis Ntzoufras Publisher: Hoboken, N.J. : Wiley, ©2009. ISBN/ISSN: 9780470141144 047014114X OCLC:237048398

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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]
Rating:	(not yet rated) 0 with reviews - Be the first.

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Material Type:	Internet resource
Document Type:	Book, Internet Resource
All Authors / Contributors:	Ioannis Ntzoufras Find more information about:
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.
More information:	Table of contents only

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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