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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355286/ https://www.ncbi.nlm.nih.gov/pubmed/32657404 http://dx.doi.org/10.1093/bioinformatics/btaa397 |