Bayesian Uncertainty Analysis
Bayesian Uncertainty Analysis is a statistical inference framework that quantifies uncertainty in model parameters and predictions by updating prior beliefs with observed data through Bayes' theorem.
624
Publications
43.2K
Citations
1.5K
Authors
684
Institutions
Publications per year
2017–2026
199
Parents
624
1–5 of 624
1.5K
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Vanderbilt University
Nashville, United States
14 h-index
28 publications
1.2K citations
Los Alamos National Laboratory
Los Alamos, United States
13 h-index
23 publications
1.5K citations

Physikalisch-Technische Bundesanstalt
Braunschweig, Germany
13 h-index
19 publications
1K citations
National Institute of Standards and Technology
Gaithersburg, United States
12 h-index
26 publications
2K citations
North Carolina State University
Raleigh, United States
10 h-index
18 publications
552 citations

University of Liverpool
Liverpool, United Kingdom
10 h-index
11 publications
398 citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
14 publications
765 citations
The University of Texas at Austin
Austin, United States
9 h-index
24 publications
1.9K citations
1–8 of 684
20 publications · 3.1K citations
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29 publications · 1.1K citations
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16 publications · 1.1K citations
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Repository · 16 publications · 863 citations
14
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15 publications · 745 citations
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