Bayesian Compartmental Inference
Bayesian Compartmental Inference is a statistical inference framework that integrates Bayesian hierarchical modeling with compartmental dynamical systems to estimate uncertain parameters and latent states in structured population models while quantifying epistemic and aleatoric uncertainty.
3
Publications
181
Citations
13
Authors
8
Institutions
Publications per year
2017–2026
0
3
A Bayesian approach to parameter estimation in HIV dynamical models
Hein Putter, S. H. Heisterkamp, Joep M. A. Lange et al. · Statistics in Medicine · 2002 · 123 citations
1–3 of 3
13
1
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1
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1
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Institut national de l'environnement industriel et des risques, France
1 publications · 24 citations
1
h-index
1
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1–5 of 13
8
Institut national de l'environnement industriel et des risques
Verneuil-en-Halatte, France
1 h-index
1 publications
24 citations
Harvard University
Cambridge, United States
1 h-index
3 publications
72 citations

Bocconi University
Milan, Italy
1 h-index
1 publications
24 citations
California Institute of Technology
Pasadena, United States
1 h-index
2 publications
68 citations

Leiden University Medical Center
Leiden, The Netherlands
1 h-index
1 publications
123 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
1 publications
24 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
2 publications
246 citations
Boston University
Boston, United States
1 h-index
3 publications
72 citations
1–8 of 8
1 publications · 123 citations
1
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1 publications · 34 citations
1
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1 publications · 24 citations
1
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1–3