Machine Learning, Data Science.
distribution. With MCMC, we begin with samples from some unknown distribution, and our objective is to approximate, as best we can, the distribution that those samples came from. This way of thinking about it helps to clarify in what situations we need general Monte Carlo methods vs. MCMC. If you