• BUGS

  • Referenced in 297 articles [sw07885]
  • BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...
  • OpenBUGS

  • Referenced in 62 articles [sw08316]
  • package for performing Bayesian inference Using Gibbs Sampling. The user specifies a statistical model ... chain Monte Carlo) scheme (based on the Gibbs sampler) for analysing the specified model...
  • BioProspector

  • Referenced in 24 articles [sw09375]
  • BioProspector, a C program using a Gibbs sampling strategy, examines the upstream region of genes...
  • GraphLab

  • Referenced in 17 articles [sw12830]
  • implementing parallel versions of belief propagation, Gibbs sampling, Co-EM, Lasso and Compressed Sensing...
  • JGibbLDA

  • Referenced in 7 articles [sw28484]
  • Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference. JGibbLDA ... Latent Dirichlet Allocation (LDA) using Gibbs Sampling technique for parameter estimation and inference. The input ... implementation of LDA in Java using Gibbs Sampling to provide an alternative choice...
  • topicmodels

  • Referenced in 10 articles [sw07324]
  • code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors...
  • bfa

  • Referenced in 9 articles [sw07430]
  • loadings and develop efficient parameter-expanded Gibbs sampling for posterior computation. The methods are evaluated...
  • lda

  • Referenced in 8 articles [sw07319]
  • Collapsed Gibbs sampling methods for topic models. This package implements latent Dirichlet allocation ... models is implemented via a fast collapsed Gibbs sampler writtten in C. Utility functions...
  • reglogit

  • Referenced in 6 articles [sw14464]
  • Regression. Regularized (polychotomous) logistic regression by Gibbs sampling. The package implements subtly different MCMC schemes...
  • BayesLCA

  • Referenced in 6 articles [sw16118]
  • provided, incorporating an expectation-maximization algorithm, Gibbs sampling and a variational Bayes approximation. The article...
  • Monomvn

  • Referenced in 6 articles [sw08173]
  • Bayesian approach employing scale-mixtures for Gibbs sampling. Monotone data augmentation extends this Bayesian approach...
  • Venture

  • Referenced in 6 articles [sw14670]
  • inference strategies such as Metropolis-Hastings, Gibbs sampling, and blocked proposals based on particle Markov...
  • bsa

  • Referenced in 5 articles [sw26370]
  • mass around the parametric family. A Gibbs sampling algorithm to estimate the posterior distributions ... importance sampling scheme enables us to use the output of the Gibbs sampler to very...
  • FastInf

  • Referenced in 4 articles [sw06423]
  • clique tree based exact inference, Gibbs sampling, and the mean field algorithm. In addition...
  • INCLUSive

  • Referenced in 4 articles [sw17183]
  • elements using probabilistic sequence models and Gibbs sampling. All tools are available via different...
  • HBC

  • Referenced in 4 articles [sw24836]
  • discrete models. More general that simple Gibbs sampling (eg., allowing for maximizations, EM and message...
  • GeneMarkS

  • Referenced in 4 articles [sw23024]
  • coding regions and the Gibbs sampling multiple alignment program. GeneMarkS predicted precisely...
  • LearnBayes

  • Referenced in 3 articles [sw04495]
  • models, Bayesian tests, and illustrations of Gibbs sampling...
  • rjmcmc

  • Referenced in 3 articles [sw21805]
  • space, RJMCMC is treated as a Gibbs sampling problem. Previously-calculated posterior distributions are used...
  • PLMIX

  • Referenced in 2 articles [sw19806]
  • algorithm and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special...