Bayesian Risk Modeling
Bayesian Risk Modeling is a risk modeling framework that employs Bayesian inference to update the probability estimates of risky events by integrating prior knowledge with observed data, thereby distinguishing itself through its coherent treatment of uncertainty via subjective priors and recursive learning.
287
Publications
13.9K
Citations
853
Authors
414
Institutions
Publications per year
2017–2026
114
Parents
287
1–5 of 287
853
7
h-index
6
h-index
5
h-index
5
h-index
5
h-index
1–5 of 853
414
Wuhan University of Technology
Wuhan, China
8 h-index
25 publications
1.5K citations
Liverpool John Moores University
Liverpool, United Kingdom
7 h-index
20 publications
2.1K citations
University of Stavanger
Stavanger, Norway
5 h-index
8 publications
188 citations
Queen Mary University of London
London, United Kingdom
5 h-index
11 publications
877 citations

Dalian Maritime University
Dalian, China
5 h-index
20 publications
1.5K citations

Delft University of Technology
Delft, The Netherlands
5 h-index
11 publications
376 citations
ETH Zurich
Zurich, Switzerland
5 h-index
10 publications
341 citations
Duke University
Durham, United States
4 h-index
6 publications
673 citations
1–8 of 414
25 publications · 2.4K citations
21
h-index
17 publications · 787 citations
13
h-index
8 publications · 796 citations
8
h-index
5 publications · 265 citations
5
h-index
5 publications · 238 citations
5
h-index
1–5