1994•Stochastic Processes and their ApplicationsOpen access

Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms

Gareth O. Roberts, A. F. M. Smith

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Key concepts: Markov chain Monte Carlo, Metropolis–Hastings algorithm, Gibbs sampling, Convergence (economics), Mathematics, Algorithm, Markov chain, Bayesian probability