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Course annotation
KMA/MCMC
-IS/STAG
The aim of this course is to introduce the Markov Chain Monte Carlo (MCMC) method, namely the Markov chains with general state space, geometric ergodicity, Gibbs sampler, Metropolis-Hastings algorithm, perfect simulations, properties and applications of the method.