Stochastic epidemics conditioned on their final outcome

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Stochastic epidemics conditioned on their final outcome

This thesis investigates the representation of a stochastic epidemic process as a directed random graph; we use this representation to impute the missing information in final size data to make Bayesian statistical inference about the model parameters using MCMC techniques. The directed random graph...

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Bibliographic Details
Main Author:	White, Simon Richard
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2010
Subjects:	Stochastic epidemics Markov chain Monte Carlo
Online Access:	https://eprints.nottingham.ac.uk/11274/

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