Posterior Distribution Approximation
Posterior Distribution Approximation is a computational method in Bayesian statistics that approximates the posterior distribution of model parameters by constructing a tractable probability distribution closest to the true posterior under a specified divergence measure.
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2017–2026
453
Parents
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Approximate Bayesian Computation in Population Genetics
Mark Beaumont, Wenyang Zhang, David J. Balding · Genetics · 2002 · 3.1K citations
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Imperial College London
London, United Kingdom
23 h-index
57 publications
7K citations
Carnegie Mellon University
Pittsburgh, United States
22 h-index
44 publications
14.5K citations
Stanford University
Stanford, United States
22 h-index
47 publications
7.7K citations
University College London
London, United Kingdom
21 h-index
43 publications
4.1K citations

Centre National de la Recherche Scientifique
Paris, France
20 h-index
49 publications
1.9K citations
Massachusetts Institute of Technology
Cambridge, United States
19 h-index
51 publications
3.2K citations
University of Cambridge
Cambridge, United Kingdom
19 h-index
62 publications
1.7K citations
University of California, Berkeley
Berkeley, United States
19 h-index
50 publications
9.1K citations
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Repository · 157 publications · 9.2K citations
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67 publications · 13.9K citations
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JCGS · 30 publications · 3K citations
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