Bayesian Marginal Likelihood
Bayesian Marginal Likelihood is the probability of observed data under a given model, obtained by integrating the likelihood function over the prior distribution of the model parameters, thereby serving as a normalizing constant in Bayesian posterior computation.
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2017–2026
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Improving Marginal Likelihood Estimation for Bayesian Phylogenetic Model Selection
Wangang Xie, Paul O. Lewis, Yu Fan et al. · Systematic Biology · 2010 · 1.1K citations · Full text
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University of Amsterdam
Amsterdam, The Netherlands
3 h-index
6 publications
786 citations
University of Connecticut
Storrs, United States
3 h-index
6 publications
5.5K citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
67 citations
University of Washington
Seattle, United States
3 h-index
7 publications
1.1K citations

University of Nottingham
Nottingham, United Kingdom
3 h-index
3 publications
1.1K citations

University of Turku
Turku, Finland
3 h-index
3 publications
98 citations
KU Leuven
Leuven, Belgium
3 h-index
6 publications
2.8K citations
Rega Institute for Medical Research
Leuven, Belgium
2 h-index
4 publications
426 citations
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Repository · 9 publications · 221 citations
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CSDA · 2 publications · 179 citations
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2 publications · 1.1K citations
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2 publications · 92 citations
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2 publications · 1.4K citations
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