Information about Test

Bayesian network
aimlexchange.com/search/wiki/page/Bayesian_networkA Bayesian network, Bayes network, belief network, decision network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic

Bayesian inference
aimlexchange.com/search/wiki/page/Bayesian_inference(2013). Bayesian Programming (1 edition) Chapman and Hall/CRC. Daniel Roy (2015). Probabilistic Programming. http://probabilisticprogramming.org/wiki/Home

Stan (software)
aimlexchange.com/search/wiki/page/Stan_%28software%29probabilistic programming language for statistical inference written in C++. The Stan language is used to specify a (Bayesian) statistical model with an imperative

Probabilistic programming
aimlexchange.com/search/wiki/page/Probabilistic_programmingProbabilistic programming (PP) is a programming paradigm in which probabilistic models are specified and inference for these models is performed automatically

List of statistical software
aimlexchange.com/search/wiki/page/List_of_statistical_softwaresoftware suite for nonlinear statistical modeling based on C++ which uses automatic differentiation Bayesian Filtering Library Chronux – for neurobiological

Bayesian econometrics
aimlexchange.com/search/wiki/page/Bayesian_econometricsBayesian econometrics is a branch of econometrics which applies Bayesian principles to economic modelling. Bayesianism is based on a degreeofbelief interpretation

Markov chain Monte Carlo
aimlexchange.com/search/wiki/page/Markov_chain_Monte_Carloin Bayesian statistics, computational physics, computational biology and computational linguistics. In Bayesian statistics, the recent development of

Bayesian probability
aimlexchange.com/search/wiki/page/Bayesian_probabilityBayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is

MCSim
aimlexchange.com/search/wiki/page/MCSimone to design one's own statistical or simulation models, perform Monte Carlo simulations, and Bayesian inference through Markov chain Monte Carlo simulations

PyMC3
aimlexchange.com/search/wiki/page/PyMC3PyMC3 is a Python package for Bayesian statistical modeling and probabilistic machine learning which focuses on advanced Markov chain Monte Carlo and