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

The BUGS Book (eBook, PDF)

A Practical Introduction to Bayesian Analysis

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 399
• Erscheinungstermin: 2. Oktober 2012
• Englisch
• ISBN-13: 9781466586666
• Artikelnr.: 57105299

Autorenporträt

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

Inhaltsangabe

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.