Groups
Gibbs sampling is an MCMC method that generates samples by repeatedly drawing each variable from its conditional distribution given the others.
MCMC builds a random walk (a Markov chain) whose long-run visiting frequency matches your target distribution, even when the target is only known up to a constant.