Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems

Approximate Bayesian computation (ABC) methods can be used to evaluate posterior distributions without having to calculate likelihoods. In this paper, we discuss and apply an ABC method based on sequential Monte Carlo (SMC) to estimate parameters of dynamical models. We show that ABC SMC provides in...

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Detalhes bibliográficos
Main Authors: Toni, Tina, Welch, David, Strelkowa, Natalja, Ipsen, Andreas, Stumpf, Michael P.H.
Formato: Artigo
Idioma:English
Publicado em: The Royal Society 2008
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2658655/
https://ncbi.nlm.nih.gov/pubmed/19205079
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2008.0172
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https://ncbi.nlm.nih.gov/pmc/articles/PMC2658655/
https://ncbi.nlm.nih.gov/pubmed/19205079
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2008.0172

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