Sparse linear mixed model selection via streamlined variational Bayes
type: Item
instance of: scholarly article
title: Sparse linear mixed model selection via streamlined variational Bayes
DOI: 10.1214/22-EJS2063
author: Emanuele Degani
author: Luca Maestrini
author: Dorota Toczydłowska
author: M. P. Wand
published in: Electronic Journal of Statistics
publication date: 2022-10-18T00:00:00Z
full work available at URL: https://arxiv.org/abs/2110.07048
full work available at URL: 22-EJS2063.full
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62J07
zbMATH DE Number: 7603106
zbMATH Keywords: mean field variational Bayes
zbMATH Keywords: multilevel models
zbMATH Keywords: longitudinal data analysis
zbMATH Keywords: fixed effects selection
zbMATH Keywords: global-local shrinkage priors
describes a project that uses: Stan
describes a project that uses: MEMSS
describes a project that uses: SemiPar
describes a project that uses: RcppArmadillo
describes a project that uses: EBayesThresh
describes a project that uses: R
describes a project that uses: TeachingDemos
describes a project that uses: brms
describes a project that uses: S-PLUS
describes a project that uses: KernSmooth
describes a project that uses: Infer.NET
describes a project that uses: Armadillo
MaRDI profile type: Publication
OpenAlex ID: W3205586694
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