# Overview

Monte Carlo methods are simulation methods to estimate quantities based on, or take random samples from, a given distribution $$p(x)$$, where the exact form of $$p(x)$$ may be either known or unknown. The latter case may typically require Markov Chain Monte Carlo (MCMC) methods.