Efficient MCMC and posterior consistency for Bayesian inverse problems
Many mathematical models used in science and technology often contain parameters that are not known a priori. In order to match a model to a physical phenomenon, the parameters have to be adapted on the basis of the available data. One of the most important statistical concepts applied to inverse pr...
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University of Warwick
2013
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589891 |