Bayesian Updating is a statistical method that belongs to the class of Bayesian inference techniques, distinguished by its sequential revision of prior beliefs through the application of Bayes' theorem to incorporate new empirical evidence into the probability distribution of a parameter.
805
Publications
61.3K
Citations
1.8K
Authors
744
Institutions
Publications per year
2017–2026
271
Publications
805
The American Statistician · 1947 · 3.7K citations
Scientific reasoning: the Bayesian approach
Choice Reviews Online · 1990 · 1.3K citations
1–5 of 805
Authors
1.8K
- DS
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Institutions
744
California Institute of Technology
Pasadena, United States
17 h-index
28 publications
6K citations
University of Liverpool
Liverpool, United Kingdom
15 h-index
24 publications
2.1K citations
University College London
London, United Kingdom
15 h-index
39 publications
2.6K citations
Tongji University
Shanghai, China
14 h-index
25 publications
1.3K citations
The Ohio State University
Columbus, United States
13 h-index
18 publications
912 citations
University of California, Berkeley
Berkeley, United States
13 h-index
21 publications
4.4K citations
Stanford University
Stanford, United States
12 h-index
21 publications
3.4K citations
Centre National de la Recherche Scientifique
Paris, France
12 h-index
23 publications
965 citations
1–8 of 744
Venues
- Mechanical Systems and Signal Processing
MSSP · 19 publications · 1.4K citations
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- Journal of Engineering Mechanics
20 publications · 5.6K citations
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- Engineering Structures
16 publications · 970 citations
15
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- SSRN Electronic Journal
Repository · 17 publications · 412 citations
13
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- Reliability Engineering & System Safety
11 publications · 447 citations
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