Gibbs sampling is a Markov Chain Monte Carlo algorithm, which can be used to simulate a desired distribution, such as a posterior distribution from a Bayesian inference problem.
Gibbs sampling is a Markov Chain Monte Carlo algorithm, which can be used to simulate a desired distribution, such as a posterior distribution from a Bayesian inference problem.