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

    aimlexchange.com/search/wiki/page/Bayesian_inference

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

  3. Stan (software)

    aimlexchange.com/search/wiki/page/Stan_%28software%29

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

  4. 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

  5. List of statistical software

    aimlexchange.com/search/wiki/page/List_of_statistical_software

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

  6. Bayesian econometrics

    aimlexchange.com/search/wiki/page/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

  7. Markov chain Monte Carlo

    aimlexchange.com/search/wiki/page/Markov_chain_Monte_Carlo

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

  8. Bayesian probability

    aimlexchange.com/search/wiki/page/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. MCSim

    aimlexchange.com/search/wiki/page/MCSim

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

  10. PyMC3

    aimlexchange.com/search/wiki/page/PyMC3

    PyMC3 is a Python package for Bayesian statistical modeling and probabilistic machine learning which focuses on advanced Markov chain Monte Carlo and

Contents