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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Topics & keywords

Keywords
  • Gibbs sampling
  • Computer science
  • Graphical model
  • Bayesian probability
  • Programming language
  • Software engineering
  • Artificial intelligence
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