The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Language and Program for Complex Bayesian Modelling
Abstract
Gibbs sampling has enormous potential for analysing complex data sets. However, routine use of Gibbs sampling has been hampered by the lack of general purpose software for its implementation. Until now all applications have involved writing one-off computer code in low or intermediate level languages such as C or Fortran. We describe some general purpose software that we are currently developing for implementing Gibbs sampling: BUGS (Bayesian inference using Gibbs sampling). The BUGS system comprises three components: first, a natural language for specifying complex models; second, an 'expert system' for deciding appropriate methods for obtaining samples required by the Gibbs sampler; third, a sampling module containing numerical routines to perform the sampling. S objects are used for data input and output. BUGS is written in Modula-2 and runs under both DOS and UNIX.
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Cites
Monte Carlo sampling methods using Markov chains and their applications.
Hastings, W. K. (1970) · Biometrika · doi:10.1093/biomet/57.1.97 · Cited by 15,195
Sampling-based approaches to calculating marginal densities
Gelfand, A. E., & Smith, A. F. M. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10476213 · Cited by 6,606
Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods
Smith, A. F. M., & Roberts, G. O. (1993) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1993.tb01466.x · Cited by 1,713
Cited by
An Introduction to Variational Methods for Graphical Models
Jordan, M. I., Ghahramani, Z., Jaakkola, T. S., & Saul, L. K. (1999) · Machine Learning · doi:10.1023/a:1007665907178 · Cited by 3,791
An introduction to MCMC for machine learning.
Andrieu, C., de Freitas, N., Doucet, A., & Jordan, M. I. (2003) · Machine Learning · doi:10.1023/a:1020281327116 · Cited by 2,451
The BUGS project: evolution, critique and future directions
Lunn, D., Spiegelhalter, D., Thomas, A., & Best, N. (2009) · Statistics in Medicine · doi:10.1002/sim.3680 · Cited by 1,876
Self-citationBoyle, J. P., Thompson, T. J., Gregg, E. W., Barker, L. E., & Williamson, D. F. (2010) · Population Health Metrics · doi:10.1186/1478-7954-8-29 · Cited by 1,309
Network meta‐analysis for indirect treatment comparisons
Lumley, T. (2002) · Statistics in Medicine · doi:10.1002/sim.1201 · Cited by 1,206
Metadata
- Authors
- Gilks, W. R., Thomas, A., & Spiegelhalter, D. J.
- Venue
- The Statistician
- Publisher
- JSTOR
- Published
- 1994
- Volume
- 43
- Issue
- 1
- Pages
- 169
- ISSN
- 0039-0526 (ISSN-L)
- OpenAlex
- W156498718
- Cited by
- 653
- References
- 3
- FWCI
- 11.21
- Type
- journal article
- Language
- en
- Open access
- closed
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