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.

Keywords

Gibbs samplingComputer scienceGraphical modelBayesian probabilityProgramming languageSoftware engineeringArtificial intelligence

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Publication Info

Year: 2003
Type: article
Citations: 4702
Access: Closed

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APA Style

                            
                                    Martyn Plummer
                                
                            (2003). 
                            JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling. 
                            
                            .