Prior Distributions is a probability distribution that represents the uncertainty about a parameter before observing the data, serving as the foundational input in Bayesian inference to encode existing knowledge or assumptions about model parameters.
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A Bayesian Analysis of Some Nonparametric Problems
Thomas S. Ferguson · The Annals of Statistics · 1973 · 4.8K citations · Full text
Maxmin expected utility with non-unique prior
Itzhak Gilboa, David Schmeidler · Journal of Mathematical Economics · 1989 · 4.2K citations
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Carnegie Mellon University
Pittsburgh, United States
21 h-index
44 publications
5.8K citations
University of Pavia
Pavia, Italy
21 h-index
34 publications
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Duke University
Durham, United States
20 h-index
39 publications
2.2K citations
University of Cambridge
Cambridge, United Kingdom
18 h-index
35 publications
2.9K citations
Purdue University West Lafayette
West Lafayette, United States
18 h-index
24 publications
2K citations
Centre National de la Recherche Scientifique
Paris, France
17 h-index
38 publications
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Northwestern University
Evanston, United States
17 h-index
41 publications
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Universidad de Granada
Granada, Spain
16 h-index
34 publications
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- The Annals of Statistics
107 publications · 15.6K citations
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109 publications · 9.5K citations
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- Biometrika
60 publications · 3.4K citations
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
42 publications · 5.2K citations
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- Bayesian Analysis
43 publications · 6.8K citations
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