• BayesReg

  • Referenced in 5 articles [sw31836]
  • Bayesian Regression Models with Global-Local Shrinkage Priors. Fits linear or logistic regression model using ... Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott...
  • bayesreg

  • Referenced in 5 articles [sw31331]
  • regularization for linear regression models. Multiple shrinkage priors are implemented that will shrink small regression ... overview in the preprint Shrinkage priors for Bayesian penalized regression. Note that only the full...
  • WFMM

  • Referenced in 6 articles [sw36436]
  • result of the nonlinear shrinkage prior imposed on the fixed effects wavelet coefficients...
  • horserule

  • Referenced in 5 articles [sw27913]
  • horseshoe prior, which is well known to give aggressive shrinkage of noise predictors while leaving ... horseshoe prior has an additional hierarchical layer that applies more shrinkage a priori to rules ... observations. The aggressive noise shrinkage of our prior also makes it possible to complement...
  • MBSP

  • Referenced in 2 articles [sw25620]
  • package MBSP: Multivariate Bayesian Model with Shrinkage Priors. Implements a sparse Bayesian multivariate linear regression ... model using shrinkage priors from the three parameter beta normal family. The method is described...
  • shrinkTVP

  • Referenced in 3 articles [sw29787]
  • time-varying parameter models with shrinkage priors. Details on the algorithms used are provided...
  • psbcGroup

  • Referenced in 3 articles [sw24007]
  • Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors. Algorithms for fitting penalized parametric ... semiparametric Bayesian survival models with shrinkage and grouping priors...
  • vir

  • Referenced in 1 article [sw37284]
  • Variational Inference for Shrinkage Priors: The R package vir. We present vir, an R package ... variational inference with shrinkage priors. Our package implements variational and stochastic variational algorithms for linear...
  • bama

  • Referenced in 1 article [sw37933]
  • applying Bayesian methods with continuous shrinkage priors on the effects...
  • blasso

  • Referenced in 13 articles [sw06769]
  • scale mixture of normal distributions. Prior distributions are proposed for the regularization parameters, resulting ... models that allows for adaptive, data-based shrinkage of the regression coefficients. Posterior inference ... addressed from a Bayesian perspective by assigning prior probabilities to all possible models. Corresponding computational...
  • BSGW

  • Referenced in 1 article [sw29207]
  • subjects. Bayesian Lasso shrinkage in the form of two Laplace priors - one for scale ... functions can be used to tune the shrinkage parameters. Monte Carlo Markov Chain (MCMC) sampling...
  • bayesShrink

  • Referenced in 1 article [sw39024]
  • shrinkage according to the choice of beta, logistic or generalized secant hyperbolic (GSH) prior...
  • ashr

  • Referenced in 2 articles [sw33933]
  • package ashr: Methods for Adaptive Shrinkage, using Empirical Bayes. The R package ’ashr’ implements ... likelihoods (e.g., normal, Poisson) and mixture priors (e.g., uniform, normal...
  • ebnm

  • Referenced in 1 article [sw40151]
  • Normal Means Problem Using a Variety of Prior Families. The empirical Bayes normal means (EBNM ... applied statistics. Applications include meta-analysis and shrinkage estimation; wavelet denoising; multiple testing and false ... developed that fit this model under different prior assumptions. Each package naturally has a different...
  • CARlasso

  • Referenced in 1 article [sw39712]
  • predictors that allows the incorporation of prior knowledge from controlled experiments. In addition, CARlasso ... adaptive extension to include different shrinkage to different edges; 3) is computationally inexpensive through...
  • LSQR

  • Referenced in 394 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • MapReduce

  • Referenced in 263 articles [sw00546]
  • MapReduce is a new parallel programming model initially...
  • Mathematica

  • Referenced in 6355 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 13544 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • Octave

  • Referenced in 304 articles [sw00646]
  • GNU Octave is a high-level language, primarily...