Evidence Estimation
Evidence Estimation is a statistical methodology within Bayesian inference that quantifies the marginal likelihood of observed data under a given model, serving to assess model fit and enable model comparison by integrating over the entire parameter space weighted by the prior distribution.
8
Publications
435
Citations
24
Authors
19
Institutions
Publications per year
2017–2026
6
Variants
Model Evidence Estimation
Parents
8
Likelihood-free estimation of model evidence
Xavier Didelot, Richard G. Everitt, Adam M. Johansen et al. · Bayesian Analysis · 2011 · 126 citations · Full text
Computing, Biostatistics, Genetics +17
Variational Message Passing and Local Constraint Manipulation in Factor Graphs
İsmai̇l Şenöz, Thijs van de Laar, Dmitry Bagaev et al. · Entropy · 2021 · 30 citations · Full text
1–5 of 8
24
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1–5 of 24
19
University College Dublin
Dublin, Ireland
2 h-index
6 publications
132 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
1 publications
56 citations
Heilbronn Institute for Mathematical Research
Bristol, United Kingdom
1 h-index
1 publications
126 citations

University of Warwick
Coventry, United Kingdom
1 h-index
1 publications
126 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
103 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
4 publications
120 citations

Indian Institute of Technology Hyderabad
Sangāreddi, India
1 h-index
3 publications
63 citations
Kavli Institute for Particle Astrophysics and Cosmology
Menlo Park, United States
1 h-index
1 publications
103 citations
1–8 of 19
1 publications · 56 citations
1
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1 publications · 103 citations
1
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1 publications · 126 citations
1
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1 publications · 30 citations
1
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Repository · 1 publications · 30 citations
1
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