Data Science, Sampling, Statistics, Machine Learning, Artificial Intelligence.
explanation here. Gibbs sampling is a Markov Chain Monte Carlo sampler and a special case (simplified case) of a family of Metropolis-Hasting (MH) algorithms. The Metropolis-Hastings (MH) algorithm is the most popular MCMC sampler and many practical MCMC samplers can be interpreted as special cases