In Statistics, Markov chain Monte Carlo (MCMC, 마르코프 연쇄 몬테카를로 방법) methods are a class of algorithms for sampling from a Probability distribution based on constructing a Markov chain that has the desired distribution as its equilibrium distribution. (https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo)

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