Gibbs sampling

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Notion

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Science and technology

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What Wikipedia says

In statistics, Gibbs sampling or a Gibbs sampler, also known in statistical mechanics as the heat bath algorithm, is a Markov chain Monte Carlo (MCMC) algorithm for sampling from a specified multivariate probability distribution when direct sampling from the joint distribution is difficult, but sampling from the conditional distribution is more practical.

Excerpt from the Wikipedia article “Gibbs sampling”, under the CC BY-SA 4.0 license. Read the article on Wikipedia