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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...
שמור ב:
| Main Authors: | , , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
The Royal Society
2008
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| נושאים: | |
| גישה מקוונת: | 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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