 All steps of the described algorithm are repeated thousands of times using Markov chain Monte Carlo (MCMC) technique.As a result, we obtain a posterior distribution of "γ" (variable inclusion in the model), "β" (regression coefficient values) and the corresponding prediction of "y".The model got its name (spike-and-slab) due to the shape of the two prior distributions.