
BUGS
 Referenced in 299 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, CoEM, 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 XuanHieu Phan and coauthors...

bfa
 Referenced in 9 articles
[sw07430]
 loadings and develop efficient parameterexpanded 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 expectationmaximization algorithm, Gibbs sampling and a variational Bayes approximation. The article...

Monomvn
 Referenced in 6 articles
[sw08173]
 Bayesian approach employing scalemixtures for Gibbs sampling. Monotone data augmentation extends this Bayesian approach...

Venture
 Referenced in 6 articles
[sw14670]
 inference strategies such as MetropolisHastings, 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. Previouslycalculated 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...