• AutoClass

  • Referenced in 68 articles [sw26092]
  • Autoclass - A Bayesian Approach to Classification. We describe a Bayesian approach to the unsupervised discovery...
  • bayesm

  • Referenced in 49 articles [sw06787]
  • that emphasizes the value of the Bayesian approach to solving nontrivial problems. The success...
  • BayesTree

  • Referenced in 57 articles [sw07995]
  • posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...
  • ConfBands

  • Referenced in 26 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...
  • EMVS

  • Referenced in 28 articles [sw31733]
  • package EMVS: The Expectation-Maximization Approach to Bayesian Variable Selection. An efficient expectation-maximization algorithm...
  • Monomvn

  • Referenced in 10 articles [sw08173]
  • maximum likelihood inference and a full Bayesian approach employing scale-mixtures for Gibbs sampling. Monotone ... data augmentation extends this Bayesian approach to arbitrary missingness patterns. A fully functional standalone interface...
  • BGX

  • Referenced in 14 articles [sw06935]
  • package that implements an integrated Bayesian approach to the analysis of 3’ GeneChip data...
  • GSM

  • Referenced in 13 articles [sw10497]
  • Shape Mixture: This package implements a Bayesian approach for estimation of a mixture of gamma...
  • JMbayes

  • Referenced in 11 articles [sw19775]
  • fitting these models under a Bayesian approach using Markon chain Monte Carlo algorithms. JMbayes...
  • MODL

  • Referenced in 10 articles [sw18797]
  • discretization method MODL, founded on a Bayesian approach. We introduce a space of discretization models...
  • RELION

  • Referenced in 6 articles [sw22792]
  • RELION: Implementation of a Bayesian approach to cryo-EM structure determination. RELION, for REgularized LIkelihood ... tuning of parameters, RELION uses a Bayesian approach to infer parameters of a statistical model...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • strategy for fully Bayesian inference in models with binomial likelihoods. The approach appeals...
  • BDgraph

  • Referenced in 7 articles [sw14815]
  • Bayesian structure learning in sparse Gaussian graphical models. Decoding complex relationships among large numbers ... crucial issues in science. One approach to this problem is Gaussian graphical modeling, which describes ... paper, we introduce a novel and efficient Bayesian framework for Gaussian graphical model determination which ... show our method outperforms alternative Bayesian approaches in terms of convergence, mixing in the graph...
  • PicHunter

  • Referenced in 53 articles [sw14896]
  • PicHunter: Bayesian relevance feedback for image retrieval. This paper describes PicHunter, an image retrieval system ... that implements a novel approach to relevance feedback, such that the entire history of user ... goal image. To accomplish this, PicHunter uses Bayesian learning based on a probabilistic model...
  • CASPAR

  • Referenced in 6 articles [sw12242]
  • CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data ... severely underdetermined regression or classification models. Several approaches exist to classify patients in different risk ... regression model that is embedded in a Bayesian framework. A hierarchical prior distribution...
  • BaM

  • Referenced in 24 articles [sw06085]
  • Gill , Books is ”Bayesian Methods: A Social and Behavioral Sciences Approach, Second Edition published...
  • bsa

  • Referenced in 5 articles [sw26370]
  • hold approximately. We use a Bayesian approach, in which the prior on is a mixture...
  • DeCo

  • Referenced in 4 articles [sw24120]
  • Dijk (2013) where a constructive Bayesian approach is presented for combining predictive densities originating from...
  • Bayesianbetareg

  • Referenced in 3 articles [sw16259]
  • beta regression models under a Bayesian approach. Finally, beta regression models are fitted ... Bayesianbetareg and betareg R-packages for Bayesian and classic perspectives...
  • BVSNLP

  • Referenced in 3 articles [sw22350]
  • genomic studies. This package provides a Bayesian approach to tackle this problem, where it exploits ... computing ability, it reports necessary outcomes of Bayesian variable selection such as Highest Posterior Probability...