Bayesian inference using Gibbs sampling

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Bayesian inference using Gibbs sampling (BUGs) is an algorithm in computational statistics that implements Bayesian inference based on Gibbs sampling, which is one type of Markov chain Monte Carlo method.

BUGs is used in the following software:[1]

References[edit]

  1. ^ David Lunn, David Spiegelhalter, Andrew Thomas and Nicky Best (2009). The BUGS project: Evolution, critique and future directions, Statistics in Medicine 28 (25), 3049–3067. doi:10.1002/sim.3680 PMID 19630097.