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.

Simple Monte Carlo Methods

Markov Chain Monte Carlo methods