JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling 论文
2003引用 4708
Bayesian Methods and Mixture ModelsBayesian Modeling and Causal InferenceStatistical Methods and Bayesian Inference
详细信息
- 发表日期
- 2003-01-01
- 发表年份
- 2003
关键词
Bayesian Methods and Mixture ModelsBayesian Modeling and Causal InferenceStatistical Methods and Bayesian Inference
摘要
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.