Information about Test

  1. Bayesian network

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

  2. Probabilistic programming

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

  3. Bayesian inference

    (2013). Bayesian Programming (1 edition) Chapman and Hall/CRC. Daniel Roy (2015). Probabilistic Programming.

  4. List of statistical software

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

  5. Stan (software)

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

  6. Machine learning

    "Improving+First+and+Second-Order+Methods+by+Modeling+Uncertainty "Improving First and Second-Order Methods by Modeling Uncertainty". In Sra, Suvrit; Nowozin

  7. Bayesian econometrics

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

  8. Markov chain Monte Carlo

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

  9. Bayesian probability

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

  10. Artificial intelligence

    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