• BUGS

  • Referenced in 276 articles [sw07885]
  • BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...
  • OpenBUGS

  • Referenced in 55 articles [sw08316]
  • software package for performing Bayesian inference Using Gibbs Sampling. The user specifies a statistical model...
  • Stan

  • Referenced in 69 articles [sw10200]
  • probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized...
  • bnlearn

  • Referenced in 30 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 cross-validation. Development...
  • Mcmcpack

  • Referenced in 36 articles [sw07974]
  • This package contains functions to perform Bayesian inference using posterior simulation for a number...
  • dlm

  • Referenced in 24 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...
  • MrBayes

  • Referenced in 24 articles [sw07715]
  • MrBayes: Bayesian Inference of Phylogeny. MrBayes is a program for Bayesian inference and model choice...
  • 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...
  • Infer.NET

  • Referenced in 22 articles [sw07886]
  • algorithms and statistical routines for performing Bayesian inference. It has applications in a wide variety...
  • BayesLogit

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

  • Referenced in 15 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...
  • 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 45 articles [sw07995]
  • Bayesian Additive Regression Trees. We develop a Bayesian “sum-of-trees” 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 state-space modelling and Bayesian inference on modern computer hardware, including multi-core ... 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 9 articles [sw11391]
  • package LaplacesDemon: Complete Environment for Bayesian Inference. Provides a complete environment for Bayesian inference using...
  • spectralGP

  • Referenced in 9 articles [sw08081]
  • Routines for creating, manipulating, and performing Bayesian inference about Gaussian processes...
  • stochvol

  • Referenced in 8 articles [sw19383]
  • package stochvol: Efficient Bayesian Inference for Stochastic Volatility (SV) Models. Efficient algorithms for fully Bayesian...
  • WEBWEAVR-III

  • 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 multi-agent MSBNs, and learning decomposable...
  • latentnet

  • Referenced in 8 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...
  • bfa

  • Referenced in 8 articles [sw07430]
  • justifications for using this likelihood in Bayesian inference. We propose new default priors...