The Metropolis-Hastings is a simple algorithm that produces samples from distributions that are difficult to extract samples from. It stimulates a Markov Chain and is used to approximate a distribution or compute an integral.
The Metropolis-Hastings is a simple algorithm that produces samples from distributions that are difficult to extract samples from. It stimulates a Markov Chain and is used to approximate a distribution or compute an integral.