Gibbs sampling for a finite hidden spin field
= Gibbs sampling for a finite hidden spin field
For a strictly positive posterior on finitely many binary spins, a <Random-scan Gibbs sampler> uses the two local posterior weights to redraw one spin. Positive <full conditional distribution> probabilities allow every finite sequence of spin changes, giving an <irreducible Markov chain> with positive self-transition probabilities.