Bayesian Causality Assessment
Bayesian Causality Assessment is a formal probabilistic framework for evaluating causal relationships among variables by updating prior beliefs with observed evidence according to Bayes' theorem, distinguished from other causal assessment methods by its explicit incorporation of uncertainty and subjective priors in the inference process.
12
Publications
392
Citations
45
Authors
24
Institutions
Publications per year
2017–2026
2
Parents
12
1–5 of 12
45
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1–5 of 45
24

University of Minnesota
Minneapolis, United States
2 h-index
2 publications
51 citations
Feng Chia University
Taichung, Taiwan
1 h-index
1 publications
60 citations
Seoul National University
Seoul, South Korea
1 h-index
1 publications
60 citations
Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas
Madrid, Spain
1 h-index
4 publications
48 citations
Instituto de Salud Carlos III
Madrid, Spain
1 h-index
4 publications
48 citations

University of Toronto
Toronto, Canada
1 h-index
3 publications
78 citations
Inserm
Paris, France
1 h-index
7 publications
392 citations

Universidade do Porto
Porto, Portugal
1 h-index
3 publications
78 citations
1–8 of 24
2 publications · 29 citations
2
h-index
2 publications · 69 citations
2
h-index
1 publications · 20 citations
1
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Repository · 1 publications · 10 citations
1
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1 publications · 76 citations
1
h-index
1–5