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  2. Bayesian network - Wikipedia

    en.wikipedia.org/wiki/Bayesian_network

    SPSS Modeler – Commercial software that includes an implementation for Bayesian networks. Stan (software) – Stan is an open-source package for obtaining Bayesian inference using the No-U-Turn sampler (NUTS), [ 27 ] a variant of Hamiltonian Monte Carlo.

  3. Dynamic Bayesian network - Wikipedia

    en.wikipedia.org/wiki/Dynamic_Bayesian_network

    Dynamic Bayesian Network composed by 3 variables. Bayesian Network developed on 3 time steps. Simplified Dynamic Bayesian Network. All the variables do not need to be duplicated in the graphical model, but they are dynamic, too. A dynamic Bayesian network (DBN) is a Bayesian network (BN) which relates variables to each other over adjacent time ...

  4. Stan (software) - Wikipedia

    en.wikipedia.org/wiki/Stan_(software)

    Stan: A probabilistic programming language for Bayesian inference and optimization, Journal of Educational and Behavioral Statistics. Hoffman, Matthew D., Bob Carpenter, and Andrew Gelman (2012). Stan, scalable software for Bayesian modeling Archived 2015-01-21 at the Wayback Machine, Proceedings of the NIPS Workshop on Probabilistic Programming.

  5. Bayesian programming - Wikipedia

    en.wikipedia.org/wiki/Bayesian_programming

    Bayesian programming [2] is a formal and concrete implementation of this "robot". Bayesian programming may also be seen as an algebraic formalism to specify graphical models such as, for instance, Bayesian networks, dynamic Bayesian networks, Kalman filters or hidden Markov models.

  6. List of phylogenetics software - Wikipedia

    en.wikipedia.org/wiki/List_of_phylogenetics_software

    This list of phylogenetics software is a compilation of computational phylogenetics ... Bayesian inference, alignment as well as tree search ... Network Free ...

  7. Bayesian inference - Wikipedia

    en.wikipedia.org/wiki/Bayesian_inference

    Bayesian inference (/ ˈ b eɪ z i ə n / BAY-zee-ən or / ˈ b eɪ ʒ ən / BAY-zhən) [1] is a method of statistical inference in which Bayes' theorem is used to calculate a probability of a hypothesis, given prior evidence, and update it as more information becomes available.

  8. WinBUGS - Wikipedia

    en.wikipedia.org/wiki/WinBugs

    WinBUGS is statistical software for Bayesian analysis using Markov chain Monte Carlo (MCMC) methods. It is based on the BUGS (Bayesian inference Using Gibbs Sampling) project started in 1989. It runs under Microsoft Windows, though it can also be run on Linux or Mac using Wine. [1]

  9. Markov blanket - Wikipedia

    en.wikipedia.org/wiki/Markov_blanket

    In a Bayesian network, the Markov boundary of node A includes its parents, children and the other parents of all of its children.. In statistics and machine learning, when one wants to infer a random variable with a set of variables, usually a subset is enough, and other variables are useless.

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