Markov Chain Monte Carlo Methods
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Markov chain Monte Carlo (MCMC) methods use a carefully constructed sequence of dependent random variables to approximate expectations with respect to probability distributions of interest (i.e., appropriately weighted averages). Although first developed in the 1940s by physicists at Los ...
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