Posterior Distributions
Posterior Distributions is a probability distribution that represents the updated beliefs about a parameter after observing data, derived by applying Bayes' theorem to combine the prior distribution with the likelihood function.
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2017–2026
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Variants
Posterior Distribution
888
A Bayesian Analysis of Some Nonparametric Problems
Thomas S. Ferguson · The Annals of Statistics · 1973 · 4.8K citations · Full text
Robert J. Aumann · The Annals of Statistics · 1976 · 2.5K citations
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Carnegie Mellon University
Pittsburgh, United States
16 h-index
26 publications
5.8K citations
University of Chicago
Chicago, United States
13 h-index
15 publications
5.4K citations
University College London
London, United Kingdom
12 h-index
14 publications
1.3K citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
21 publications
649 citations
Purdue University West Lafayette
West Lafayette, United States
11 h-index
12 publications
479 citations

Imperial College London
London, United Kingdom
11 h-index
13 publications
483 citations
Quaid-i-Azam University
Islamabad, Pakistan
10 h-index
16 publications
358 citations

Indian Statistical Institute
Kolkata, India
10 h-index
15 publications
938 citations
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70 publications · 17.2K citations
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