Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation

Calibrating model parameters on heterogeneous data can be challenging and inefficient. This holds especially for likelihood-free methods such as approximate Bayesian computation (ABC), which rely on the comparison of relevant features in simulated and observed data and are popular for otherwise intr...

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Detalles Bibliográficos
Autores principales: Schälte, Yannik, Hasenauer, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202307/
https://www.ncbi.nlm.nih.gov/pubmed/37216372
http://dx.doi.org/10.1371/journal.pone.0285836

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202307/
https://www.ncbi.nlm.nih.gov/pubmed/37216372
http://dx.doi.org/10.1371/journal.pone.0285836

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