Markov Chain Monte Carlo (MCMC) is a technique for getting your work done when Monte Carlo won’t work. The problem is finding the expected value of f(X) where X is some random variable. If you can draw independent samples xi from X, the solution is simple: When it’s possible to draw these independent samples, the sum above is well … Continue reading Introduction to MCMC