Approximate Bayesian Inference
Approximate Bayesian Inference is a methodological framework within Bayesian statistics that approximates the posterior distribution of model parameters when exact inference is computationally intractable, distinguishing itself from exact Bayesian methods by trading full probabilistic precision for scalability and efficiency.
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2017–2026
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Auto-Encoding Variational Bayes
Diederik P. Kingma, Max Welling · UvA-DARE (University of Amsterdam) · 2013 · 15.6K citations · Full text
Approximate Bayesian Computation in Population Genetics
Mark Beaumont, Wenyang Zhang, David J. Balding · Genetics · 2002 · 3.1K citations
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Centre de Recherche en Mathématiques de la Décision, France
11 publications · 2.6K citations
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University College London
London, United Kingdom
28 h-index
88 publications
12.6K citations
University of Oxford
Oxford, United Kingdom
22 h-index
51 publications
3.1K citations

Imperial College London
London, United Kingdom
22 h-index
73 publications
16.5K citations
Stanford University
Stanford, United States
20 h-index
54 publications
17.7K citations
University of Cambridge
Cambridge, United Kingdom
20 h-index
51 publications
18.5K citations

Centre National de la Recherche Scientifique
Paris, France
19 h-index
52 publications
6.5K citations
Princeton University
Princeton, United States
19 h-index
38 publications
12.6K citations

Université Paris Dauphine-PSL
Paris, France
18 h-index
27 publications
4.1K citations
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Repository · 131 publications · 20.2K citations
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