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The BUGS Book

A Practical Introduction to Bayesian Analysis
Langbeschreibung
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.
Inhaltsverzeichnis
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 Modeling. Hierarchical Models. Specialized Models. Different Implementations of BUGS. Appendices. Bibliography. Index.
David Lunn, Chris Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter
ISBN-13:
9781466586666
Veröffentl:
2012
Seiten:
399
Autor:
David Lunn
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch

58,49 €*

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