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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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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
The Royal Society
2008
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| Sujets: | |
| Accès en ligne: | 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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