bookJul 21, 2008Closed access

Bayesian Modeling Using WinBUGS

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Abstract

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles of Bayesian modeling with detailed guidance on the practical implementation of key principles. The book begins with a basic introduction to Bayesian inference and the WinBUGS software and goes on to cover key topics, including: Markov Chain Monte Carlo algorithms in Bayesian inference Generalized linear models Bayesian hierarchical models Predictive…

Citation impact

1,003
total citations
FWCI
13.23
Percentile
100%
References
3
Citations per year

Authors

1

Topics & keywords

Keywords
  • Bayesian probability
  • Computer science
  • Artificial intelligence
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