Bayesian nonparametric inference for stochastic epidemic models

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Bayesian nonparametric inference for stochastic epidemic models

Modelling of infectious diseases is a topic of great importance. Despite the enormous attention given to the development of methods for efficient parameter estimation, there has been relatively little activity in the area of nonparametric inference for epidemics. In this thesis, we develop new metho...

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Bibliographic Details
Main Author:	Xu, Xiaoguang
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2015
Subjects:	Bayesian nonparametrics; epidemic models; SIR models
Online Access:	https://eprints.nottingham.ac.uk/29170/

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