enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Just another Gibbs sampler - Wikipedia

    en.wikipedia.org/wiki/Just_another_Gibbs_sampler

    Just another Gibbs sampler (JAGS) is a program for simulation from Bayesian hierarchical models using Markov chain Monte Carlo (MCMC), developed by Martyn Plummer. JAGS has been employed for statistical work in many fields, for example ecology, management, and genetics. [2] [3] [4]

  3. Bayesian hierarchical modeling - Wikipedia

    en.wikipedia.org/wiki/Bayesian_hierarchical_modeling

    Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior distribution using the Bayesian method. [1] The sub-models combine to form the hierarchical model, and Bayes' theorem is used to integrate them with the observed data and account for all the ...

  4. Gibbs sampling - Wikipedia

    en.wikipedia.org/wiki/Gibbs_sampling

    JAGS (Just another Gibbs sampler) is a GPL program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo. Church is free software for performing Gibbs inference over arbitrary distributions that are specified as probabilistic programs. PyMC is an open source Python library for Bayesian learning of general Probabilistic ...

  5. Multilevel model - Wikipedia

    en.wikipedia.org/wiki/Multilevel_model

    Multilevel models are a subclass of hierarchical Bayesian models, which are general models with multiple levels of random variables and arbitrary relationships among the different variables. Multilevel analysis has been extended to include multilevel structural equation modeling , multilevel latent class modeling , and other more general models.

  6. Bayesian statistics - Wikipedia

    en.wikipedia.org/wiki/Bayesian_statistics

    Devising a good model for the data is central in Bayesian inference. In most cases, models only approximate the true process, and may not take into account certain factors influencing the data. [2] In Bayesian inference, probabilities can be assigned to model parameters. Parameters can be represented as random variables. Bayesian inference uses ...

  7. Multilevel regression with poststratification - Wikipedia

    en.wikipedia.org/wiki/Multilevel_regression_with...

    The multilevel regression is the use of a multilevel model to smooth noisy estimates in the cells with too little data by using overall or nearby averages. One application is estimating preferences in sub-regions (e.g., states, individual constituencies) based on individual-level survey data gathered at other levels of aggregation (e.g ...

  8. Approximate Bayesian computation - Wikipedia

    en.wikipedia.org/wiki/Approximate_Bayesian...

    Open source software package consisting of several C and R programs that are run with a Perl "front-end". Hierarchical coalescent models. Population genetic data from multiple co-distributed species. [78] PopABC: Software package for inference of the pattern of demographic divergence. Coalescent simulation. Bayesian model choice. [79] ONeSAMP

  9. Bayesian inference using Gibbs sampling - Wikipedia

    en.wikipedia.org/wiki/Bayesian_inference_using...

    Bayesian inference using Gibbs sampling (BUGS) is a statistical software for performing Bayesian inference using Markov chain Monte Carlo (MCMC) methods. It was developed by David Spiegelhalter at the Medical Research Council Biostatistics Unit in Cambridge in 1989 and released as free software in 1991.