A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation

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A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation

Likelihood-based inference for disease outbreak data can be very challenging due to the inherent dependence of the data and the fact that they are usually incomplete. In this paper we review recent Approximate Bayesian Computation (ABC) methods for the analysis of such data by fitting to them stocha...

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Bibliographic Details
Main Authors:	Kypraios, Theodore, Neal, Peter, Prangle, Dennis
Format:	Article
Published:	Elsevier 2017
Subjects:	Bayesian inference; Epidemics; Stochastic epidemic models; Approximate Bayesian Computation; Population Monte Carlo
Online Access:	https://eprints.nottingham.ac.uk/44015/

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