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
1Topics & keywords
Topics
Keywords
- Bayesian probability
- Computer science
- Artificial intelligence
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