• BUGS

  • Referenced in 174 articles [sw07885]
  • BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...
  • OpenBUGS

  • Referenced in 36 articles [sw08316]
  • software package for performing Bayesian inference Using Gibbs Sampling. The user specifies a statistical model...
  • bnlearn

  • Referenced in 15 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...
  • dlm

  • Referenced in 10 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 10 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...
  • MrBayes

  • Referenced in 7 articles [sw07715]
  • MrBayes: Bayesian Inference of Phylogeny. MrBayes is a program for Bayesian inference and model choice...
  • BioBayes

  • Referenced in 7 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...
  • Infer.NET

  • Referenced in 10 articles [sw07886]
  • algorithms and statistical routines for performing Bayesian inference. It has applications in a wide variety...
  • Mcmcpack

  • Referenced in 10 articles [sw07974]
  • This package contains functions to perform Bayesian inference using posterior simulation for a number...
  • BayesTree

  • Referenced in 26 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...
  • BayesLogit

  • Referenced in 5 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...
  • WEBWEAVR-III

  • Referenced in 7 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...
  • Bubbles

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

  • Referenced in 5 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...
  • Bali-phy

  • Referenced in 6 articles [sw16614]
  • Bali-phy: simultaneous bayesian inference of alignment and phylogeny. Summary: BAli-Phy is a Bayesian ... utilizes information in shared insertion/deletions to help infer phylogenies. Availability: Software is available for download...
  • LaplacesDemon

  • Referenced in 4 articles [sw11391]
  • LaplacesDemon: Complete Environment for Bayesian Inference: Laplace’s Demon is a complete environment for Bayesian...
  • spectralGP

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

  • Referenced in 9 articles [sw10200]
  • probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized...
  • BITE

  • Referenced in 5 articles [sw13222]
  • data using flexible hierarchical models and Bayesian inference, with a particular emphasis on the application...
  • LearnBayes

  • Referenced in 3 articles [sw04495]
  • LearnBayes: Functions for Learning Bayesian Inference , LearnBayes contains a collection of functions helpful in learning ... basic tenets of Bayesian statistical inference. It contains functions for summarizing basic ... contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling...