articleJan 1, 2003Closed access
JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling
Abstract
JAGS is a program for Bayesian Graphical modelling which aims for compatibility with Classic BUGS. The program could eventually be developed as an R package. This article explains the motivations for this program, briefly describes the architecture and then discusses some ideas for a vectorized form of the BUGS language.
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1Topics & keywords
Topics
Keywords
- Gibbs sampling
- Computer science
- Graphical model
- Bayesian probability
- Programming language
- Software engineering
- Artificial intelligence
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