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Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation

MOTIVATION: Approximate Bayesian computation (ABC) is an increasingly popular method for likelihood-free parameter inference in systems biology and other fields of research, as it allows analyzing complex stochastic models. However, the introduced approximation error is often not clear. It has been...

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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Schälte, Yannik, Hasenauer, Jan
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7355286/
https://ncbi.nlm.nih.gov/pubmed/32657404
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa397
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