Bayesian Multi-state Models
Bayesian Multi-State Models is a statistical modeling framework that belongs to the class of survival analysis methods, distinguished by its incorporation of multiple transient and absorbing states over time and its use of Bayesian inference to estimate transition intensities and state occupancy probabilities under uncertainty.
79
Publications
2.9K
Citations
303
Authors
187
Institutions
Publications per year
2017–2026
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1–5 of 79
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2 publications · 78 citations
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187
United States Geological Survey
Reston, United States
6 h-index
13 publications
357 citations
NOAA National Marine Fisheries Service
Silver Spring, United States
3 h-index
3 publications
152 citations

University of Glasgow
Glasgow, United Kingdom
3 h-index
6 publications
201 citations

University of St Andrews
St Andrews, United Kingdom
3 h-index
15 publications
647 citations
National Institute of Environmental Health Sciences
Durham, United States
2 h-index
4 publications
68 citations
Mississippi State University
Starkville, United States
2 h-index
2 publications
173 citations
Max Planck Institute for Demographic Research
Rostock, Germany
2 h-index
2 publications
65 citations
University of Missouri
Columbia, United States
2 h-index
4 publications
145 citations
1–8 of 187
6 publications · 175 citations
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3 publications · 42 citations
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3 publications · 118 citations
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3 publications · 86 citations
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2 publications · 78 citations
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