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Despite algorithmic advances in exact nonparametric inference, problems often occur that are too large for exact p value computations but too sparse for reliable asymptotic results. In these ...
This article presents a method for generating samples from an unnormalized posterior distribution f(·) using Markov chain Monte Carlo (MCMC) in which the evaluation of f(·) is very difficult or ...
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