Efficient Bayesian inference for partially observed stochastic epidemics and a new class of semi-parametric time series models
This thesis is divided in two distinct parts. In the First part we are concerned with developing new statistical methodology for drawing Bayesian inference for partially observed stochastic epidemic models. In the second part, we develop a novel methodology for constructing a wide class of semi-para...
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Lancaster University
2007
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485228 |