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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017
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| Online Access: | http://eprints.nottingham.ac.uk/44015/ http://eprints.nottingham.ac.uk/44015/ http://eprints.nottingham.ac.uk/44015/ http://eprints.nottingham.ac.uk/44015/1/Tutorial%20mainR1.pdf |