
BUGS
 Referenced in 378 articles
[sw07885]
 BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...

OpenBUGS
 Referenced in 80 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 29 articles
[sw09375]
 BioProspector, a C program using a Gibbs sampling strategy, examines the upstream region of genes...

bfa
 Referenced in 25 articles
[sw07430]
 loadings and develop efficient parameterexpanded Gibbs sampling for posterior computation. The methods are evaluated...

GraphLab
 Referenced in 23 articles
[sw12830]
 implementing parallel versions of belief propagation, Gibbs sampling, CoEM, Lasso and Compressed Sensing...

tmg
 Referenced in 18 articles
[sw39813]
 present a Hamiltonian Monte Carlo algorithm to sample from multivariate Gaussian distributions in which ... faster and is more efficient than Gibbs sampling. The runtime depends on the number...

topicmodels
 Referenced in 17 articles
[sw07324]
 code for fitting LDA models using Gibbs sampling by XuanHieu Phan and coauthors...

JGibbLDA
 Referenced in 9 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...

lda
 Referenced in 14 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...

Monomvn
 Referenced in 12 articles
[sw08173]
 Bayesian approach employing scalemixtures for Gibbs sampling. Monotone data augmentation extends this Bayesian approach...

BayesLCA
 Referenced in 10 articles
[sw16118]
 provided, incorporating an expectationmaximization algorithm, Gibbs sampling and a variational Bayes approximation. The article...

reglogit
 Referenced in 9 articles
[sw14464]
 Regression. Regularized (polychotomous) logistic regression by Gibbs sampling. The package implements subtly different MCMC schemes...

Venture
 Referenced in 9 articles
[sw14670]
 inference strategies such as MetropolisHastings, Gibbs sampling, and blocked proposals based on particle Markov...

GeneMarkS
 Referenced in 6 articles
[sw23024]
 coding regions and the Gibbs sampling multiple alignment program. GeneMarkS predicted precisely...

GibbsLDA++
 Referenced in 4 articles
[sw35593]
 Latent Dirichlet Allocation (LDA) using Gibbs Sampling technique for parameter estimation and inference ... implementation of LDA in C/C++ using Gibbs Sampling to provide an alternative to the topic...

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...

HBC
 Referenced in 5 articles
[sw24836]
 discrete models. More general that simple Gibbs sampling (eg., allowing for maximizations, EM and message...

bgsmtr
 Referenced in 3 articles
[sw34186]
 with implementation using Gibbs sampling. An extension of this model developed by Song ... either meanfield variational Bayes or Gibbs sampling. The model can also be used more...

PLMIX
 Referenced in 4 articles
[sw19806]
 algorithm and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special...

LearnBayes
 Referenced in 4 articles
[sw04495]
 models, Bayesian tests, and illustrations of Gibbs sampling...