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The BUGS book : = a practical introduction to Bayesian analysis/

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The BUGS book :/ David Lunn, Christopher Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter.
Reminder of title:	a practical introduction to Bayesian analysis/
Published:	Boca Raton (Fla.) ;CRC Press, : 2013.,
Description:	xvii, 381 p. :ill. ;24 cm.
Notes:	BUGS = Bayesian inference Using Gibbs Sampler.
Subject:	Bayesian statistical decision theory. -
ISBN:	9781584888499

The BUGS book : = a practical introduction to Bayesian analysis/
The BUGS book :a practical introduction to Bayesian analysis/David Lunn, Christopher Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter. - Boca Raton (Fla.) ;CRC Press,2013. - xvii, 381 p. :ill. ;24 cm. - Texts in statistical science.. - Texts in statistical science.

BUGS = Bayesian inference Using Gibbs Sampler.

Includes bibliographical references (p. 357-371) and index.

Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples and a wide range of applications from various disciplines.

ISBN: 9781584888499GBP27.99Subjects--Topical Terms:

551404
Bayesian statistical decision theory.

LC Class. No.: QA279.5 / .L86 2013

Dewey Class. No.: 519.5/42

The BUGS book : = a practical introduction to Bayesian analysis/
LDR:01857cam a2200217 a 4500 001 1979281
008 150513s2013 enka f 001 0 eng
020 $a 9781584888499 $q (pbk.) : $c GBP27.99
020 $a 1584888490 $q (pbk.)
040 $a ZWZ $b eng
041 $a eng $h fre
050 # 4 $a QA279.5 $b .L86 2013
082 0 4 $a 519.5/42 $2 23
245 1 0 $a The BUGS book : $b a practical introduction to Bayesian analysis/ $c David Lunn, Christopher Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter.
260 # $a Boca Raton (Fla.) ; $a London ; $a New York (N.Y.) : $b CRC Press, $c 2013.
300 $a xvii, 381 p. : $b ill. ; $c 24 cm.
490 1 0 $a Texts in statistical science.
490 1 0 $a A Chapman & Hall book.
500 $a BUGS = Bayesian inference Using Gibbs Sampler.
500 $a Introduction: Probability and Parameters. Monte Carlo Simulations Using BUGS. Introduction to Bayesian Inference. Introduction to Markov Chain Monte Carlo Methods. Prior Distributions. Regression Models. Categorical Data. Model Checking and Comparison. Issues in Modelling. Hierarchical Models. Specialised Models. Different Implementations of BUGS. A Appendix: BUGS Language Syntax. B Appendix: Functions in BUGS. C Appendix : Distributions in BUGS.
504 $a Includes bibliographical references (p. 357-371) and index.
520 # $a Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples and a wide range of applications from various disciplines.
650 # 0 $a Bayesian statistical decision theory. $3 551404
830 0 $a Texts in statistical science $3 2121397