Machine Learning, Variational Inference, Bayesian Statistics, Artificial Intelligence.
should be equal. What’s amazing is that the distribution over samples from our Markov chain provides asymptotic exactness; MCMC converges to the true posterior distribution in the limit of infinite samples. How is this implemented in practice? The Metropolis-Hastings (MH) Algorithm