Simulation-based Bayesian inference for epidemic models
نویسندگان
چکیده
منابع مشابه
Simulation-based Bayesian inference for epidemic models
A powerful and flexible method for fitting dynamic models to missing and censored data is to use the Bayesian paradigm via data-augmented Markov chain Monte Carlo (DA-MCMC). This samples from the joint posterior for the parameters and missing data, but requires high memory overheads for large-scale systems. In addition, designing efficient proposal distributions for the missing data is typicall...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2014
ISSN: 0167-9473
DOI: 10.1016/j.csda.2012.12.012