Introduction - If you have any usage issues, please Google them yourself
We focus here on Markov
Chain Monte Carlo (MCMC) methods, which attempt to simulate direct draws
from some complex distribution of interest. MCMC approaches are so-named because one uses the previous sample values to randomly generate the next sample
value, generating a Markov chain (as the transition probabilities between sample values are only a function of the most recent sample value).