Bayesian Source Attribution Models
Bayesian Source Attribution Models is a statistical modeling framework that employs Bayesian inference to probabilistically assign observed outcomes or data points to their most likely sources by updating prior beliefs with observed evidence in a coherent, uncertainty-aware manner.
13
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1.8K
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49
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30
Institutions
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2017–2026
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Meta-SourceTracker: application of Bayesian source tracking to shotgun metagenomics
Jordan McGhee, Nick Rawson, Barbara Bailey et al. · PeerJ · 2020 · 95 citations · Full text
Christopher Wellen, George B. Arhonditsis, Tanya Long et al. · Journal of Hydrology · 2014 · 52 citations
Bayesian Source Attribution of Salmonellosis in South Australia
Kathryn Glass, Emily Fearnley, Helen Hocking et al. · Risk Analysis · 2015 · 48 citations · Full text
Veterinary Medicine, Infectious Diseases, Veterinary Epidemiology +17
A Bayesian Climate Change Detection and Attribution Assessment
Terry C. K. Lee, Francis W. Zwiers, Gabriele C. Hegerl et al. · Journal of Climate · 2005 · 37 citations · Full text
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Simon Fraser University
Burnaby, Canada
3 h-index
3 publications
54 citations

Australian National University
Canberra, Australia
2 h-index
7 publications
243 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
35 citations
Centre Hospitalier de Fougères
Fougères, France
1 h-index
2 publications
40 citations
South Australia Pathology
Adelaide, Australia
1 h-index
1 publications
48 citations
SA Health
Adelaide, Australia
1 h-index
2 publications
96 citations

University of London
London, United Kingdom
1 h-index
1 publications
19 citations
Agence Nationale des Fréquences
Maisons-Alfort, France
1 h-index
3 publications
60 citations
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3 publications · 94 citations
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Repository · 2 publications · 35 citations
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1 publications · 17 citations
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1 publications · 15 citations
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1 publications · 1.5K citations
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