Description
Markov chain Monte Carlo (MCMC) is the most common approach for performing Bayesian data analysis. MCMC is a general class of algorithms that uses simulation to estimate a variety of statistical models. This tutorial will introduce users how to use MCMC for fitting statistical models using PyMC3, a Python package for probabilistic programming.