Maximum Entropy Priors
Maximum Entropy Priors is a method of prior specification in Bayesian statistics that selects the least informative prior distribution subject to specified constraints, ensuring maximal uncertainty while respecting known information.
44
Publications
2.8K
Citations
71
Authors
41
Institutions
Publications per year
2017–2026
8
Variants
Maxent Priors
44
The Prior Can Often Only Be Understood in the Context of the Likelihood
Maximum entropy signal processing in practical NMR spectroscopy
Sibusiso Sibisi, John Skilling, Richard G. Brereton et al. · Nature · 1984 · 212 citations
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Centre National de la Recherche Scientifique, France
4 publications · 137 citations
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University at Albany, State University of New York, United States
1 publications · 35 citations
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1–5 of 71
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Centre National de la Recherche Scientifique
Paris, France
5 h-index
7 publications
206 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
11 publications
1.7K citations
Laboratoire des signaux et systèmes
Gif-sur-Yvette, France
4 h-index
6 publications
191 citations

Supélec
Gif-sur-Yvette, France
3 h-index
3 publications
120 citations
Columbia University
New York, United States
2 h-index
4 publications
1.8K citations

University of Toronto
Toronto, Canada
2 h-index
2 publications
915 citations

KTH Royal Institute of Technology
Stockholm, Sweden
1 h-index
1 publications
23 citations
K.N.Toosi University of Technology
Tehran, Iran
1 h-index
2 publications
52 citations
1–8 of 41
1 publications · 35 citations
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2 publications · 466 citations
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2 publications · 47 citations
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PNAS · 1 publications · 29 citations
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1 publications · 45 citations
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