CODA: convergence diagnosis and output analysis for MCMC
[1st paragraph] At first sight, Bayesian inference with Markov Chain Monte Carlo (MCMC) appears to be straightforward. The user defines a full probability model, perhaps using o...
Publications
2 shownJAGS: A program for analysis of Bayesian graphical models using Gibbs sampling
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 explai...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 8,176
External Links
Identifiers
- ORCID
- 0000-0001-5130-6497
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.