Bayesian inference using Gibbs sampling: Difference between revisions
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{{more citations needed|date=March 2013}} |
{{more citations needed|date=March 2013}} |
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'''Bayesian inference using Gibbs sampling ( |
'''Bayesian inference using Gibbs sampling (BUGS)''' is a software package for performing [[Bayesian inference]] using [[Markov chain Monte Carlo]] (based on [[Gibbs sampling]]). |
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BUGs is used in the following software:<ref name="BUGS review">David Lunn, [[David Spiegelhalter]], Andrew Thomas and [[Nicky Best]] (2009). [http://w3.jouy.inra.fr/unites/miaj/public/matrisq/Contacts/applibugs.bugs_project.evolution.pdf The BUGS project: Evolution, critique and future directions] {{webarchive|url=https://web.archive.org/web/20120915083751/http://w3.jouy.inra.fr/unites/miaj/public/matrisq/Contacts/applibugs.bugs_project.evolution.pdf |date=2012-09-15 }}, ''Statistics in Medicine'' 28 (25), 3049–3067. {{doi|10.1002/sim.3680}} {{PMID|19630097}}.</ref> |
BUGs is used in the following software:<ref name="BUGS review">David Lunn, [[David Spiegelhalter]], Andrew Thomas and [[Nicky Best]] (2009). [http://w3.jouy.inra.fr/unites/miaj/public/matrisq/Contacts/applibugs.bugs_project.evolution.pdf The BUGS project: Evolution, critique and future directions] {{webarchive|url=https://web.archive.org/web/20120915083751/http://w3.jouy.inra.fr/unites/miaj/public/matrisq/Contacts/applibugs.bugs_project.evolution.pdf |date=2012-09-15 }}, ''Statistics in Medicine'' 28 (25), 3049–3067. {{doi|10.1002/sim.3680}} {{PMID|19630097}}.</ref> |
Revision as of 15:49, 3 September 2021
This article needs additional citations for verification. (March 2013) |
Bayesian inference using Gibbs sampling (BUGS) is a software package for performing Bayesian inference using Markov chain Monte Carlo (based on Gibbs sampling).
BUGs is used in the following software:[1]
See also
References
- ^ David Lunn, David Spiegelhalter, Andrew Thomas and Nicky Best (2009). The BUGS project: Evolution, critique and future directions Archived 2012-09-15 at the Wayback Machine, Statistics in Medicine 28 (25), 3049–3067. doi:10.1002/sim.3680 PMID 19630097.