
BUGS
 Referenced in 235 articles
[sw07885]
 BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...

OpenBUGS
 Referenced in 46 articles
[sw08316]
 software package for performing Bayesian inference Using Gibbs Sampling. The user specifies a statistical model...

bnlearn
 Referenced in 24 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 18 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...

Stan
 Referenced in 40 articles
[sw10200]
 probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized...

Infer.NET
 Referenced in 19 articles
[sw07886]
 algorithms and statistical routines for performing Bayesian inference. It has applications in a wide variety...

Mcmcpack
 Referenced in 18 articles
[sw07974]
 This package contains functions to perform Bayesian inference using posterior simulation for a number...

RStan
 Referenced in 13 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 11 articles
[sw07715]
 MrBayes: Bayesian Inference of Phylogeny. MrBayes is a program for Bayesian inference and model choice...

BioBayes
 Referenced in 11 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...

MultiNest
 Referenced in 11 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...

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...

BayesLogit
 Referenced in 10 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...

BayesTree
 Referenced in 39 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...

LaplacesDemon
 Referenced in 6 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...

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

Baliphy
 Referenced in 6 articles
[sw16614]
 Baliphy: simultaneous bayesian inference of alignment and phylogeny. Summary: BAliPhy is a Bayesian ... utilizes information in shared insertion/deletions to help infer phylogenies. Availability: Software is available for download...

HDDM
 Referenced in 6 articles
[sw16420]
 HDDM: Hierarchical Bayesian estimation of the DriftDiffusion Model in Python. The diffusion model ... commonly used tool to infer latent psychological processes underlying decisionmaking, and to link them ... estimates of each parameter. In contrast, hierarchical Bayesian parameter estimation methods are useful for enhancing ... drift diffusion model and Bayesian inference. We then illustrate usage of the toolbox...

spectralGP
 Referenced in 6 articles
[sw08081]
 Routines for creating, manipulating, and performing Bayesian inference about Gaussian processes...