Markov Chains, Python.
Bayesian inference on complex probabilistic models. So, what is MCMC exactly? At its core, MCMC is a method for generating samples from complex probability distributions. This is critical in Bayesian inference, where we often need to calculate a posterior distribution — a distribution representing