Topics in Bayesian inference and model assessment for partially observed stochastic epidemic models

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Topics in Bayesian inference and model assessment for partially observed stochastic epidemic models

Stochastic epidemic models can offer a vitally important public health tool for understanding and controlling disease progression. However, these models are of little practical use if they are not supported by data or are not applicable to efficient parameter inference methods. The peculiarities of...

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Bibliographic Details
Main Author:	Aristotelous, Georgios
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2020
Subjects:	Bayesian inference Stochastic epidemic models Model assessment.
Online Access:	https://eprints.nottingham.ac.uk/63384/

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