
BUGS
 Referenced in 295 articles
[sw07885]
 BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...

Stan
 Referenced in 98 articles
[sw10200]
 probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized...

OpenBUGS
 Referenced in 62 articles
[sw08316]
 software package for performing Bayesian inference Using Gibbs Sampling. The user specifies a statistical model...

MrBayes
 Referenced in 32 articles
[sw07715]
 MrBayes: Bayesian Inference of Phylogeny. MrBayes is a program for Bayesian inference and model choice...

bnlearn
 Referenced in 34 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...

BayesLogit
 Referenced in 29 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...

Mcmcpack
 Referenced in 38 articles
[sw07974]
 This package contains functions to perform Bayesian inference using posterior simulation for a number...

dlm
 Referenced in 25 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...

MultiNest
 Referenced in 24 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...

RStan
 Referenced in 23 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...

Infer.NET
 Referenced in 26 articles
[sw07886]
 algorithms and statistical routines for performing Bayesian inference. It has applications in a wide variety...

BioBayes
 Referenced in 15 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...

LaplacesDemon
 Referenced in 13 articles
[sw11391]
 package LaplacesDemon: Complete Environment for Bayesian Inference. Provides a complete environment for Bayesian inference using...

BayesTree
 Referenced in 50 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...

latentnet
 Referenced in 11 articles
[sw10550]
 Tantrum (2007). The package implements Bayesian inference for the models based on an Markov chain ... position cluster models, the package provides a Bayesian way of assessing how many groups there...

stochvol
 Referenced in 10 articles
[sw19383]
 package stochvol: Efficient Bayesian Inference for Stochastic Volatility (SV) Models. Efficient algorithms for fully Bayesian...

rstan
 Referenced in 8 articles
[sw16103]
 probabilistic programming language that implements full Bayesian statistical inference ... Markov Chain Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood...

spectralGP
 Referenced in 10 articles
[sw08081]
 Routines for creating, manipulating, and performing Bayesian inference about Gaussian processes...

bfa
 Referenced in 9 articles
[sw07430]
 justifications for using this likelihood in Bayesian inference. We propose new default priors...