Machine Learning, Statistics, Monte Carlo, Deep Learning.
accept the new tentative state z¹ with the probability a. Generically, with we can write this as Since we make our new tentative states dependent on the previous state, we deal here for the first time with a Markov chain Monte Carlo method. A Markov chain is a stochastic model describing a sequence