Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation
نویسندگان
چکیده
منابع مشابه
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 information about the inferability of parameters and model sensitivity to changes in parameters, an...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2020
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btaa397