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Showing 1 to 1 of 1 for “"Particle Smoothing"”.
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Monte Carlo Methods in Practice and Efficiency Enhancements via Parallel Computation
Monte Carlo methods are crucial when dealing with advanced problems in Bayesian inference. Indeed, common approaches such as Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) can be endlessly adapted to tackle the most complex problems. What is important then is to construct …