Bayesian inference for mixture models via Monte Carlo computation
In the past fifteen years there has been a dramatic increase of interest in Bayesian mixture models. This is because we are now able to apply Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. This thesis is concerned with Bayesian mixture modelling via such approaches. The fo...
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Imperial College London
2006
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484721 |