Bayesian nonparametrics for stochastic epidemic models

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Bayesian nonparametrics for stochastic epidemic models

The vast majority of models for the spread of communicable diseases are parametric in nature and involve underlying assumptions about how the disease spreads through a population. In this article we consider the use of Bayesian nonparametric approaches to analysing data from disease outbreaks. Speci...

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Bibliographic Details
Main Authors:	Kypraios, Theodore, O'Neill, Philip D.
Format:	Article
Published:	Institute of Mathematical Statistics 2018
Subjects:	Bayesian nonparametrics Epidemic model Gaussian process
Online Access:	https://eprints.nottingham.ac.uk/43486/

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