Machine Learning, Variational Inference, Bayesian Statistics, Artificial Intelligence.
posterior means, variances, quantiles, and other probabilistic summaries of the model parameters. The most important question: who is Markov and why are we talking about his chain? In MCMC, a Markov chain is simply a sequence of samples where each sample is “memoryless”, i.e. the probability of