has_specified_input sampling from a probability distribution Metropolis–Hastings sampling https://en.wikipedia.org/wiki/Metropolis%E2%80%93Hastings_algorithm Hastings, W.K. (1970). "Monte Carlo Sampling Methods Using Markov Chains and Their Applications". Biometrika. 57 (1): 97–109. doi:10.1093/biomet/57.1.97 Philippe Rocca-Serra the Metropolis–Hastings algorithm is a Markov chain Monte Carlo (MCMC) method for obtaining a sequence of random samples from a probability distribution for which direct sampling is difficult. continuous multivariate probability distribution discrete multivariate probability distribution ready for release