Bayesian Uncertainty
Bayesian Uncertainty is a formal framework for representing and updating epistemic uncertainty through probabilistic inference, distinguished by its reliance on Bayes' theorem to quantify belief distributions over hypotheses given observed evidence.
378
Publications
26.5K
Citations
1K
Authors
474
Institutions
Publications per year
2017–2026
135
Parents
378
1–5 of 378
1K
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474

University of Thessaly
Volos, Greece
10 h-index
13 publications
621 citations
The Ohio State University
Columbus, United States
10 h-index
19 publications
1.2K citations

Physikalisch-Technische Bundesanstalt
Braunschweig, Germany
9 h-index
12 publications
855 citations
Harvard University
Cambridge, United States
8 h-index
11 publications
2.9K citations
ETH Zurich
Zurich, Switzerland
8 h-index
27 publications
2.1K citations
University of California, Berkeley
Berkeley, United States
7 h-index
12 publications
1.2K citations
Stanford University
Stanford, United States
7 h-index
9 publications
235 citations
University College London
London, United Kingdom
6 h-index
12 publications
536 citations
1–8 of 474
Repository · 15 publications · 1.1K citations
12
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12 publications · 547 citations
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9 publications · 694 citations
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8 publications · 1.8K citations
8
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MSSP · 7 publications · 228 citations
7
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