Information about Test

Markov chain Monte Carlo
aimlexchange.com/search/wiki/page/Markov_chain_Monte_CarloMarkov chain Monte Carlo (MCMC) methods comprise a class of algorithms for sampling from a probability distribution. By constructing a Markov chain that

Monte Carlo method
aimlexchange.com/search/wiki/page/Monte_Carlo_methodmathematicians often use a Markov chain Monte Carlo (MCMC) sampler. The central idea is to design a judicious Markov chain model with a prescribed stationary

Metropolis–Hastings algorithm
aimlexchange.com/search/wiki/page/Metropolis%E2%80%93Hastings_algorithmand statistical physics, the Metropolis–Hastings algorithm is a Markov chain Monte Carlo (MCMC) method for obtaining a sequence of random samples from a

OpenBUGS
aimlexchange.com/search/wiki/page/OpenBUGSfor the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. OpenBUGS is the open source variant of WinBUGS

List of statistical software
aimlexchange.com/search/wiki/page/List_of_statistical_softwareanother Gibbs sampler (JAGS) – a program for analyzing Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is

Stan (software)
aimlexchange.com/search/wiki/page/Stan_%28software%29StataStan  integration with Stata Stan implements gradientbased Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference, stochastic, gradientbased

MCSim
aimlexchange.com/search/wiki/page/MCSimstatistical or simulation models, perform Monte Carlo simulations, and Bayesian inference through Markov chain Monte Carlo simulations. The latest version allow

PyMC3
aimlexchange.com/search/wiki/page/PyMC3modeling and probabilistic machine learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms. It is a rewrite from scratch

Stochastic
aimlexchange.com/search/wiki/page/Stochasticon) that Monte Carlo methods began to be studied in depth. In the 1950s they were used at Los Alamos for early work relating to the development of the hydrogen

Bayesian probability
aimlexchange.com/search/wiki/page/Bayesian_probabilityapplications of Bayesian methods, mostly attributed to the discovery of Markov chain Monte Carlo methods and the consequent removal of many of the computational