
BayesDA
 Referenced in 1097 articles
[sw11008]
 BayesDA: Functions and Datasets for the book ”Bayesian Data Analysis” Functions for Bayesian Data Analysis ... with datasets from the book ”Bayesian data Analysis (second edition)” by Gelman, Carlin, Stern...

BUGS
 Referenced in 358 articles
[sw07885]
 BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...

spBayes
 Referenced in 325 articles
[sw10160]
 geostatistical data are often best analyzed with Bayesian hierarchical models. Unfortunately, fitting such models involves...

JAGS
 Referenced in 200 articles
[sw08040]
 program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation ... plaftorm for experimentation with ideas in Bayesian modelling. JAGS is licensed under the GNU General...

mclust
 Referenced in 257 articles
[sw00563]
 Based Clustering, Classification, and Density Estimation, including Bayesian regularization...

tsbridge
 Referenced in 165 articles
[sw12354]
 tsbridge: Calculate normalising constants for Bayesian time series models. The tsbridge package contains a collection ... probabilities for a variety of time series Bayesian models, where parameters are estimated using BUGS...

Stan
 Referenced in 174 articles
[sw10200]
 probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized...

PMTK
 Referenced in 161 articles
[sw14689]
 framework encompassing machine learning, graphical models, and Bayesian statistics (hence the logo). (Some methods from...

BayesTree
 Referenced in 58 articles
[sw07995]
 BayesTree: Bayesian Methods for Tree Based Models: Implementation of BART: Bayesian Additive Regression Trees ... develop a Bayesian “sumoftrees” model where each tree is constrained by a regularization ... inference are accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from ... posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...

DPpackage
 Referenced in 62 articles
[sw10495]
 DPpackage: Bayesian Semi and Nonparametric Modeling in R. Data analysis sometimes requires the relaxation ... specification of the probability model. In the Bayesian context, this is accomplished by placing ... programs for the implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently...

AutoClass
 Referenced in 68 articles
[sw26092]
 Autoclass  A Bayesian Approach to Classification. We describe a Bayesian approach to the unsupervised discovery...

boa
 Referenced in 90 articles
[sw04493]
 package boa: Bayesian Output Analysis Program (BOA) for MCMC. A menudriven program and library...

bnlearn
 Referenced in 56 articles
[sw08265]
 package bnlearn: Bayesian network structure learning, parameter learning and inference. Bayesian network structure learning, parameter ... support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and cross...

bayesm
 Referenced in 54 articles
[sw06787]
 Teaching Bayesian statistics to marketing and business students. We discuss our experiences teaching Bayesian statistics ... course that emphasizes the value of the Bayesian approach to solving nontrivial problems. The success...

bvarsv
 Referenced in 85 articles
[sw11023]
 bvarsv: Bayesian Analysis of a Vector Autoregressive Model with Stochastic Volatility and TimeVarying Parameters...

HdBCS
 Referenced in 76 articles
[sw29884]
 HdBCS  Highdimensional Bayesian Covariance Selection. This site provides C++ code software implementing...

PicHunter
 Referenced in 53 articles
[sw14896]
 PicHunter: Bayesian relevance feedback for image retrieval. This paper describes PicHunter, an image retrieval system ... goal image. To accomplish this, PicHunter uses Bayesian learning based on a probabilistic model...

OpenBUGS
 Referenced in 71 articles
[sw08316]
 BUGS is a software package for performing Bayesian inference Using Gibbs Sampling. The user specifies...

RStan
 Referenced in 50 articles
[sw13990]
 probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough ... Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood estimation via optimization...

MrBayes
 Referenced in 49 articles
[sw07715]
 MrBayes: Bayesian Inference of Phylogeny. MrBayes is a program for Bayesian inference and model choice...