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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University of Nottingham
2015
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Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.674839 |