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. Bayesian inference

    Bayes' theorem Bayesian Analysis, the journal of the ISBA Bayesian hierarchical modeling Bayesian probability Bayesian regression Bayesian structural time

  3. 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

    software suite for non-linear statistical modeling based on C++ which uses automatic differentiation Bayesian Filtering Library Chronux – for neurobiological

  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. Markov chain Monte Carlo

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

  7. Approximate Bayesian computation

    Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesian statistics that can be used to estimate the posterior

  8. Bayesian probability

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

  9. 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

  10. Outline of machine learning

    Baum–Welch algorithm Bayesian hierarchical modeling Bayesian interpretation of kernel regularization Bayesian optimization Bayesian structural time series