A Monte Carlo Markov Chain (MCMC) is a model describing a sequence of possible events where the probability of each event depends only on the state attained in the previous event. MCMC have a wide array of applications, the most common of which is the approximation of probability distributions.
Let’s take a look at an example of Monte Carlo Markov Chains in action. Suppose we wanted to determine the probability of sunny…
