noun
Metropolis-Hastings algorithm
A Markov chain Monte Carlo method used in statistics and computing for sampling from probability distributions.
メトロポリス・ヘイスティングス法はベイズ推定でよく使われる。
The Metropolis-Hastings algorithm is often used in Bayesian inference.
Another MCMC method; Gibbs sampling is a special case of Metropolis-Hastings.
Named after Nicholas Metropolis and W. Keith Hastings, who developed the algorithm. The Japanese term is a direct borrowing of the English name with 法 (method) appended.