Acceleration of MCMC-based algorithms using reconfigurable logic
Monte Carlo (MC) methods such as Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) have emerged as popular tools to sample from high dimensional probability distributions. Because these algorithms can draw samples effectively from arbitrary distributions in Bayesian inference problems...
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Imperial College London
2017
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.726950 |