
BUGS
 Referenced in 261 articles
[sw07885]
 BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...

OpenBUGS
 Referenced in 52 articles
[sw08316]
 software package for performing Bayesian inference Using Gibbs Sampling. The user specifies a statistical model...

Stan
 Referenced in 63 articles
[sw10200]
 probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized...

bnlearn
 Referenced in 26 articles
[sw08265]
 network structure learning, parameter learning and inference. Bayesian network structure learning, parameter learning and inference ... parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and crossvalidation. Development...

dlm
 Referenced in 23 articles
[sw04503]
 Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models ... have developed an R package, DIM, for inference and forecasting with dynamic linear models ... introduction, presenting basic notions in Bayesian inference. The basic elements of Bayesian analysis for linear ... much more elaborated one on Bayesian inference. The last chapter is on sequential Monte Carlo...

Mcmcpack
 Referenced in 31 articles
[sw07974]
 This package contains functions to perform Bayesian inference using posterior simulation for a number...

MultiNest
 Referenced in 16 articles
[sw10481]
 MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics. We present ... nested sampling algorithm, called MultiNest. This Bayesian inference tool calculates the evidence, with an associated...

BayesLogit
 Referenced in 15 articles
[sw09312]
 Bayesian inference for logistic models using PólyaGamma latent variables. We propose a new data ... augmentation strategy for fully Bayesian inference in models with binomial likelihoods. The approach appeals...

Infer.NET
 Referenced in 21 articles
[sw07886]
 algorithms and statistical routines for performing Bayesian inference. It has applications in a wide variety...

RStan
 Referenced in 16 articles
[sw13990]
 probabilistic programming language that implements full Bayesian statistical inference ... Markov Chain Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood...

MrBayes
 Referenced in 13 articles
[sw07715]
 MrBayes: Bayesian Inference of Phylogeny. MrBayes is a program for Bayesian inference and model choice...

BioBayes
 Referenced in 12 articles
[sw08082]
 BioBayes: a software package for Bayesian inference in systems biology. MOTIVATION: There are several levels ... observed directly. The methods of Bayesian inference provide a consistent framework for modelling and predicting ... present a software package for applying the Bayesian inferential methodology to problems in systems biology...

BayesTree
 Referenced in 43 articles
[sw07995]
 Bayesian Additive Regression Trees. We develop a Bayesian “sumoftrees” model where each tree ... learner, and fitting and inference are accomplished via an iterative Bayesian backfitting MCMC algorithm that ... posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis ... likelihood. This approach enables full posterior inference including point and interval estimates of the unknown...

LibBi
 Referenced in 10 articles
[sw19384]
 package for statespace modelling and Bayesian inference on modern computer hardware, including multicore ... runs code for the given model, inference method and hardware platform. In presenting the software ... specialised methods developed for Bayesian inference with them. The focus is on sequential Monte Carlo...

LaplacesDemon
 Referenced in 7 articles
[sw11391]
 package LaplacesDemon: Complete Environment for Bayesian Inference. Provides a complete environment for Bayesian inference using...

WEBWEAVRIII
 Referenced in 8 articles
[sw05619]
 toolkit that supports the construction of Bayesian networks, inference in standard and dynamic Bayesian networks ... verification of multiply sectioned Bayesian networks (MSBNs), inference in multiagent MSBNs, and learning decomposable...

spectralGP
 Referenced in 8 articles
[sw08081]
 Routines for creating, manipulating, and performing Bayesian inference about Gaussian processes...

stochvol
 Referenced in 7 articles
[sw19383]
 package stochvol: Efficient Bayesian Inference for Stochastic Volatility (SV) Models. Efficient algorithms for fully Bayesian...

bfa
 Referenced in 7 articles
[sw07430]
 justifications for using this likelihood in Bayesian inference. We propose new default priors...

Bubbles
 Referenced in 7 articles
[sw08870]
 used as priors in Bayesian inference. The fundamental model is independent component analysis, which...