2006•Encyclopedia of Life SciencesRequires access

Gibbs Sampling and Bayesian Inference

C. Lawrence

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Abstract

Abstract Gibbs sampling is a form of Markov chain Monte Carlo (MCMC) sampling. MCMC has opened up the power of Bayesian statistics and thus has become very popular in the field of statistics; it is particularly applicable to genomics applications.

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Abstract Gibbs sampling is a form of Markov chain Monte Carlo (MCMC) sampling. MCMC has opened up the power of Bayesian statistics and thus has become very popular in the field of statistics; it is particularly applicable to genomics applications.

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Available abstract

Abstract Gibbs sampling is a form of Markov chain Monte Carlo (MCMC) sampling. MCMC has opened up the power of Bayesian statistics and thus has become very popular in the field of statistics; it is particularly applicable to genomics applications.

Key concepts: Gibbs sampling, Markov chain Monte Carlo, Bayesian probability, Sampling (signal processing), Inference, Bayesian inference, Computer science, Bayesian statistics

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