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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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| Wydane w: | Bioinformatics |
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| Główni autorzy: | , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Oxford University Press
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | 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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