• OpenBUGS

  • Referenced in 78 articles [sw08316]
  • BUGS is a software package for performing Bayesian inference Using Gibbs Sampling. The user specifies...
  • HdBCS

  • Referenced in 78 articles [sw29884]
  • HdBCS - High-dimensional Bayesian Covariance Selection. This site provides C++ code software implementing...
  • PicHunter

  • Referenced in 53 articles [sw14896]
  • PicHunter: Bayesian relevance feedback for image retrieval. This paper describes PicHunter, an image retrieval system ... goal image. To accomplish this, PicHunter uses Bayesian learning based on a probabilistic model...
  • tgp

  • Referenced in 40 articles [sw07921]
  • package tgp: Bayesian treed Gaussian process models. Bayesian nonstationary, semiparametric nonlinear regression and design ... model (LLM). Special cases also implemented include Bayesian linear models, CART, treed linear models, stationary...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • package BayesLogit: PolyaGamma Sampling. Bayesian inference for logistic models using Pólya-Gamma latent variables ... data-augmentation strategy for fully Bayesian inference in models with binomial likelihoods. The approach appeals...
  • Amos

  • Referenced in 60 articles [sw06515]
  • easily compare, confirm and refine models. Uses Bayesian analysis—to improve estimates of model parameters...
  • dlm

  • Referenced in 30 articles [sw04503]
  • package dlm: Bayesian and Likelihood Analysis of Dynamic Linear Models. Maximum likelihood, Kalman filtering ... smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear ... gives an introduction, presenting basic notions in Bayesian inference. The basic elements of Bayesian analysis ... much more elaborated one on Bayesian inference. The last chapter is on sequential Monte Carlo...
  • MultiNest

  • Referenced in 39 articles [sw10481]
  • MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics. We present ... multimodal nested sampling algorithm, called MultiNest. This Bayesian inference tool calculates the evidence, with...
  • PyMC

  • Referenced in 39 articles [sw10482]
  • PyMC: Bayesian Stochastic Modelling in Python. PyMC is a python module that implements Bayesian statistical...
  • Mcmcpack

  • Referenced in 54 articles [sw07974]
  • Package. This package contains functions to perform Bayesian inference using posterior simulation for a number...
  • BEAST

  • Referenced in 53 articles [sw12588]
  • cross-platform program for Bayesian phylogenetic analysis of molecular sequences. It estimates rooted, time-measured...
  • ConfBands

  • Referenced in 31 articles [sw12330]
  • random effects, and (c) a full Bayesian approach. The volume-of-tube formula is applied ... first two methods and compared with Bayesian simultaneous confidence bands from a frequentist perspective ... least approximately, confidence bands with either Bayesian or frequentist properties. Simulations and data analysis support...
  • rstan

  • Referenced in 35 articles [sw16103]
  • probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough ... Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood estimation via optimization...
  • MaLARea

  • Referenced in 48 articles [sw10278]
  • SNoW system used in the naive Bayesian learning mode). Its intended use is in large...
  • brms

  • Referenced in 28 articles [sw19099]
  • package brms. brms: Bayesian Regression Models using Stan. Fit Bayesian generalized (non-)linear multilevel models ... using Stan for full Bayesian inference. A wide range of distributions and link functions...
  • EMVS

  • Referenced in 32 articles [sw31733]
  • package EMVS: The Expectation-Maximization Approach to Bayesian Variable Selection. An efficient expectation-maximization algorithm ... fitting Bayesian spike-and-slab regularization paths for linear regression. Rockova and George...
  • AIS-BN

  • Referenced in 25 articles [sw02223]
  • sampling algorithm for evidential reasoning in large Bayesian networks Stochastic sampling algorithms, while an attractive ... alternative to exact algorithms in very large Bayesian network models, have been observed to perform ... dimensional integrals and the structural advantages of Bayesian networks, (2) a smooth learning method ... used in our tests three large real Bayesian network models available to the scientific community...
  • BioBayes

  • Referenced in 25 articles [sw08082]
  • BioBayes: a software package for Bayesian inference in systems biology. MOTIVATION: There are several levels ... cannot be observed directly. The methods of Bayesian inference provide a consistent framework for modelling ... present a software package for applying the Bayesian inferential methodology to problems in systems biology ... package, BioBayes, which provides a framework for Bayesian parameter estimation and evidential model ranking over...
  • BraMBLe

  • Referenced in 27 articles [sw36453]
  • BraMBLe: A Bayesian multiple blob tracker. Blob trackers have become increasingly powerful in recent years ... adapted from the theory of Bayesian correlation, but uses the assumption of a static camera ... foreground modelling. Second we introduce a Bayesian filter for tracking multiple objects when the number...
  • pomp

  • Referenced in 43 articles [sw10664]
  • data by a variety of frequentist and Bayesian methods. It is also a platform...