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

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

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

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

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

List of uncertainty propagation software
aimlexchange.com/search/wiki/page/List_of_uncertainty_propagation_softwarecarlo method. MUQ is an MIT developed collection of UQ tools for Markov Chain Monte Carlo sampling, Polynomial Chaos construction, transport maps, and many

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