Bayesian Risk Forecasting
Bayesian Risk Forecasting is a risk forecasting method that employs Bayesian inference to update the probability estimates of risk events by systematically integrating prior knowledge with observed data, thereby distinguishing itself through its probabilistic learning framework and coherent treatment of uncertainty.
22
Publications
865
Citations
74
Authors
46
Institutions
Publications per year
2017–2026
7
Parents
22
Derek W. Bunn, M. M. Mustafaoglu · Management Science · 1978 · 58 citations
Business, Economics, Risk Management +17
1–5 of 22
74
NOAA Great Lakes Environmental Research Laboratory, United States
1 publications · 33 citations
1
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1
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1
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1
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1
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1–5 of 74
46

UNSW Sydney
Sydney, Australia
1 h-index
1 publications
18 citations

United States Securities and Exchange Commission
Washington, United States
1 h-index
1 publications
22 citations

The University of Adelaide
Adelaide, Australia
1 h-index
1 publications
90 citations
Children’s Health Queensland Hospital and Health Service
Brisbane, Australia
1 h-index
1 publications
18 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
1 publications
48 citations

SINTEF
Trondheim, Norway
1 h-index
2 publications
82 citations
Wuhan University of Technology
Wuhan, China
1 h-index
2 publications
250 citations

National Chung Hsing University
Taichung, Taiwan
1 h-index
1 publications
19 citations
1–8 of 46
2 publications · 166 citations
2
h-index
CSDA · 1 publications · 90 citations
1
h-index
1 publications · 33 citations
1
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1 publications · 12 citations
1
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1 publications · 55 citations
1
h-index
1–5