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

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

  3. 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

  4. 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

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

  6. 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

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

  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. 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

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