• BAS

  • Referenced in 5 articles [sw24118]
  • coefficients are from Zellner’s g-prior or mixtures of g-priors corresponding ... Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang ... /016214507000001337> for linear models or mixtures of g-priors in GLMs of Li and Clyde...
  • blasso

  • Referenced in 13 articles [sw06769]
  • characterizations of the class of prior distributions are introduced: a properly normalized, direct characterization, which ... alternate representation as a scale mixture of normal distributions. Prior distributions are proposed ... regularization parameters, resulting in an infinite mixture of elastic net regression models that allows ... addressed from a Bayesian perspective by assigning prior probabilities to all possible models. Corresponding computational...
  • effectFusion

  • Referenced in 2 articles [sw17894]
  • differences or with a sparse finite mixture prior on the level effects. The regression coefficients...
  • bsa

  • Referenced in 5 articles [sw26370]
  • Bayesian approach, in which the prior on is a mixture of Dirichlet distributions. A hyperparameter...
  • fabMix

  • Referenced in 2 articles [sw32111]
  • using overfitting mixture models (Rousseau and Mengersen (2011) ): suitable prior assumptions ensure ... posterior distribution of the overfitting mixture. A prior parallel tempering scheme is also available, which ... multiple parallel chains with different prior distributions on the mixture weights. These chains...
  • GSM

  • Referenced in 14 articles [sw10497]
  • Bayesian approach for estimation of a mixture of gamma distributions in which the mixing occurs ... only requires to specify a prior distribution for a single parameter...
  • BNNpriors

  • Referenced in 1 article [sw38530]
  • heavy-tailed ones, hierarchical ones, and mixture priors. Moreover, it follows a modular approach that...
  • slfm

  • Referenced in 1 article [sw30052]
  • SLFM based on two type of mixtures priors for the loadings: one relying ... distribution for the spike part of the mixture. It also implements additional functions to allow...
  • ashr

  • Referenced in 1 article [sw33933]
  • likelihoods (e.g., normal, Poisson) and mixture priors (e.g., uniform, normal...
  • BVSNLP

  • Referenced in 4 articles [sw22350]
  • High Dimensional Settings using Non-Local Prior. Variable/Feature selection in high or ultra-high dimensional ... where it exploits mixture of point masses at zero and nonlocal priors to improve...
  • growfunctions

  • Referenced in 2 articles [sw16375]
  • Markov random field (iGMRF) prior formulations where a Dirichlet process mixture allows sub-groupings...
  • PLMIX

  • Referenced in 4 articles [sw19806]
  • Luce Models for Partial Rankings/Orderings. Fit finite mixtures of Plackett-Luce models for partial ... noninformative Bayesian analysis with vague priors...
  • PICS

  • Referenced in 3 articles [sw37329]
  • prior information to discriminate closely adjacent binding events via a Bayesian hierarchical (t)-mixture model...
  • GutenTag

  • Referenced in 5 articles [sw35329]
  • that of SEQUEST on a defined protein mixture, showing that both modified and unmodified peptides ... sample, identifying peptides that were missed in prior SEQUEST analysis due to sequence polymorphisms...
  • BNPMIXcluster

  • Referenced in 1 article [sw18028]
  • location mixture model with a Poisson-Dirichlet process prior on the location parameters...
  • PhyloBayes MPI

  • Referenced in 2 articles [sw23042]
  • more classical empirical matrices and finite mixtures. The parallelization is made efficient thanks ... stick-breaking representation for the Dirichlet process prior. The implementation shows close to linear gains ... thus allowing faster phylogenetic reconstruction under complex mixture models. PhyloBayes MPI is freely available from...
  • DPWeibull

  • Referenced in 1 article [sw20438]
  • without competing risks. Dirichlet process Weibull mixture model is used for data without covariates ... Omnibus prior and can model one and two dimensional data with Dirichlet mixture of Gaussian...
  • lrgs

  • Referenced in 0 articles [sw16144]
  • covariate prior distribution which is given by either a Gaussian mixture of specified size...
  • DNest4

  • Referenced in 3 articles [sw25767]
  • particular dataset and the assumed prior information. The marginal likelihood, also known as the ”evidence ... RJObject’, a class template for finite mixture models; and (ii) a Python package allowing basic...
  • MixSIAR

  • Referenced in 1 article [sw15608]
  • proportions of source (prey) contributions to a mixture (consumer). ’MixSIAR’ is not one model ... fixed/ random effects, source data types, priors, and error terms. ’MixSIAR’ incorporates several years...