Marginal Likelihood Estimation
Marginal Likelihood Estimation is a statistical inference method that belongs to the class of likelihood-based evaluation techniques, specifically defined by its computation of the probability of observed data under a given model by integrating the likelihood function over the entire parameter space with respect to the prior distribution.
723
Publications
77.8K
Citations
1.3K
Authors
619
Institutions
Publications per year
2017–2026
194
Variants
Model Evidence Estimation
723
Trevor Hastie, Robert Tibshirani · Statistical Science · 1986 · 3.4K citations
D. R. Cox · Biometrika · 1975 · 2.3K citations
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619
University College London
London, United Kingdom
17 h-index
44 publications
4.9K citations
University of Washington
Seattle, United States
15 h-index
32 publications
9.3K citations
University of Cambridge
Cambridge, United Kingdom
14 h-index
33 publications
2K citations

University of Amsterdam
Amsterdam, The Netherlands
13 h-index
37 publications
3.2K citations

UNSW Sydney
Sydney, Australia
12 h-index
17 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
12 h-index
21 publications
1K citations

Imperial College London
London, United Kingdom
11 h-index
12 publications
3.8K citations

Washington University in St. Louis
St Louis, United States
11 h-index
17 publications
5.1K citations
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Repository · 80 publications · 3K citations
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37 publications · 12.1K citations
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25 publications · 2.1K citations
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18 publications · 3.7K citations
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17 publications · 2.7K citations
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