Information about Test

  1. Bayesian network

    aimlexchange.com/search/wiki/page/Bayesian_network

    A Bayesian network, Bayes network, belief network, decision network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic

  2. Bayesian inference

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    (2013). Bayesian Programming (1 edition) Chapman and Hall/CRC. Daniel Roy (2015). Probabilistic Programming. http://probabilistic-programming.org/wiki/Home

  3. Probabilistic programming

    aimlexchange.com/search/wiki/page/Probabilistic_programming

    Probabilistic programming (PP) is a programming paradigm in which probabilistic models are specified and inference for these models is performed automatically

  4. List of statistical software

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    additional option for Bayesian methods Just another Gibbs sampler (JAGS) – a program for analyzing Bayesian hierarchical models using Markov chain Monte

  5. Stan (software)

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    probabilistic programming language for statistical inference written in C++. The Stan language is used to specify a (Bayesian) statistical model with an imperative

  6. Bayesian econometrics

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    Bayesian econometrics is a branch of econometrics which applies Bayesian principles to economic modelling. Bayesianism is based on a degree-of-belief interpretation

  7. Markov chain Monte Carlo

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    in Bayesian statistics, computational physics, computational biology and computational linguistics. In Bayesian statistics, the recent development of

  8. Bayesian probability

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    Bayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is

  9. Artificial intelligence

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    elsewhere in Europe which led to the development of the programming language Prolog and the science of logic programming. Researchers at MIT (such as Marvin

  10. MCSim

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    one to design one's own statistical or simulation models, perform Monte Carlo simulations, and Bayesian inference through Markov chain Monte Carlo simulations

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