Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth–death models

Earlier research has suggested that approximate Bayesian computation (ABC) makes it possible to fit simulator-based intractable birth–death models to investigate communicable disease outbreak dynamics with accuracy comparable to that of exact Bayesian methods. However, recent findings have indicated...

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Detalles Bibliográficos
Autores principales: Lintusaari, Jarno, Blomstedt, Paul, Rose, Brittany, Sivula, Tuomas, Gutmann, Michael U., Kaski, Samuel, Corander, Jukka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514576/
https://www.ncbi.nlm.nih.gov/pubmed/37744419
http://dx.doi.org/10.12688/wellcomeopenres.15048.2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514576/
https://www.ncbi.nlm.nih.gov/pubmed/37744419
http://dx.doi.org/10.12688/wellcomeopenres.15048.2

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