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MCMC

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**MCMC**

What is MCMC?

Markov Chain Monte Carlo (MCMC) is a class of algorithms for sampling from a probability distribution based on constructing a Markov chain that has the desired distribution as its stationary distribution. The state of the chain after a large number of steps is then used as a sample from the desired distribution. MCMC methods are primarily used for approximating multi-dimensional integrals, for example in Bayesian inference, computational physics, computational biology and machine learning.

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