The BUGS Book - Best, Nicky

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Auteur(s) : Best, Nicky - Jackson, Chris - Lunn, David

Editeur : Chapman And Hall/Crc

Langue : Anglais

Parution : 01/10/2012

Format : Moyen, de 350g à 1kg

Nombre de pages : 402.0

Expédition : 556

Dimensions : 23.3 x 15.1 x 2.2

ISBN : 1584888490

Résumé :

In recent years, Bayesian methods have become the most widely used statistical methods for data analysis and modelling. 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, covering a wide range of applications from various disciplines, and exercises, solutions, code and data on a supplementary website.

Biographie:
David Lunn, Chris Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter

Sommaire:
In recent years, Bayesian methods have become the most widely used statistical methods for data analysis and modelling. 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, covering a wide range of applications from various disciplines, and exercises, solutions, code and data on a supplementary website....

If a book has ever been so much desired in the world of statistics, it is for sure this one. ... the tens of thousands of users of WinBUGS are indebted to the leading team of the BUGS project for having eventually succeeded in finalizing the writing of this book and for making sure that the long-held expectations are not dashed. ... it reflects very well the aims and spirit of the BUGS project and is meant to be a manual 'for anyone who would like to apply Bayesian methods to real-world problems.' ... strikes the right distance between advanced theory and pure practice. I especially like the numerous examples given in the successive chapters which always help readers to figure out what is going on and give them new ideas to improve their BUGS skills. ... The BUGS Book is not only a major textbook on a topical subject, but it is also a mandatory one for all statisticians willing to learn and analyze data with Bayesian statistics at any level. It will be the companion and reference book for all users (beginners or advanced) of the BUGS software. I have no doubt it will meet the same success as BUGS and become very soon a classic in the literature of computational Bayesian statistics. -Jean-Louis Fouley, CHANCE, 2013 ... a two-in-one product that provides the reader with both a BUGS manual and a Bayesian analysis textbook, a combination that will likely appeal to many potential readers. ... The strength of The BUGS Book is its rich collection of ambitiously constructed and thematically arranged examples, which often come with snippets of code and printouts, as well as illustrative plots and diagrams. ... great value to many readers seeking to familiarize themselves with BUGS and its capabilities. -Joakim Ekstrom, Journal of Statistical Software, January 2013 MCMC freed Bayes from the shackles of conjugate priors and the curse of dimensionality; BUGS then brought MCMC-Bayes to the masses, yielding an astonishing explosion in the number, quality, and complexity of Bayesian inference over a vast array of application areas, from finance to medicine to data mining. The most anticipated applied Bayesian text of the last 20 years, The BUGS Book is like a wonderful album by an established rock supergroup: the pressure to deliver a high-quality product was enormous, but the authors have created a masterpiece well worth the wait. The book offers the perfect mix of basic probability calculus, Bayes and MCMC basics, an incredibly broad array of useful statistical models, and a BUGS tutorial and user manual complete with all the 'tricks' one would expect from the team that invented the language. BUGS is the dominant Bayesian software package of the post-MCMC era, and this book ensures it will remain so for years to come by providing accessible yet comprehensive instruction in its proper use. A must-own for any working applied statistical modeler. -Bradley P. Carlin, Professor and Head of Division of Biostatistics, University of Minnesota, Minneapolis, USA