Bayesian Computation Software
Bayesian Computation Software is a specialized statistical software system that implements computational algorithms for performing Bayesian inference, distinguished by its reliance on probabilistic models and methods such as Markov Chain Monte Carlo or variational inference to estimate posterior distributions.
112
Publications
23.2K
Citations
374
Authors
243
Institutions
Publications per year
2017–2026
42
112
BEAST 2: A Software Platform for Bayesian Evolutionary Analysis
Remco Bouckaert, Joseph Heled, Denise Kühnert et al. · PLoS Computational Biology · 2014 · 7K citations · Full text
The BUGS project: Evolution, critique and future directions
David J. Lunn, David J. Spiegelhalter, Andrew C. Thomas et al. · Statistics in Medicine · 2009 · 1.9K citations
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374
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243
Columbia University
New York, United States
5 h-index
9 publications
2K citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
4 publications
7.3K citations

Imperial College London
London, United Kingdom
4 h-index
21 publications
3.3K citations

University of Warwick
Coventry, United Kingdom
3 h-index
3 publications
58 citations

University of Toronto
Toronto, Canada
3 h-index
3 publications
1K citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
7 publications
340 citations

University of Göttingen
Göttingen, Germany
3 h-index
3 publications
356 citations
Université de Montréal
Montreal, Canada
3 h-index
4 publications
103 citations
1–8 of 243
JSS · 8 publications · 939 citations
8
h-index
Repository · 6 publications · 353 citations
6
h-index
4 publications · 152 citations
4
h-index
3 publications · 167 citations
3
h-index
BRM · 3 publications · 162 citations
3
h-index
1–5