Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies - MaRDI portal

Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies

From MaRDI portal
Publication:2633901

DOI10.1214/12-BA703zbMath1330.62089OpenAlexW1483883706MaRDI QIDQ2633901

Matthew Stephens, Peter Carbonetto

Publication date: 5 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1339616726




Related Items (36)

Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage PriorA spatiotemporal nonparametric Bayesian model of multi-subject fMRI dataLatent Network Estimation and Variable Selection for Compositional Data Via Variational EMHierarchical inference for genome-wide association studies: a view on methodology with softwareBayesian Approaches to Shrinkage and Sparse EstimationIntegrating sample similarities into latent class analysis: a tree‐structured shrinkage approachMean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remediesStatistical foundation of variational Bayes neural networksMethods and Tools for Bayesian Variable Selection and Model Averaging in Normal Linear RegressionVariable Selection Via Thompson SamplingA global-local approach for detecting hotspots in multiple-response regressionAn Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression\(\alpha\)-variational inference with statistical guaranteesBayesian Lesion Estimation with a Structured Spike-and-Slab PriorLocal convexity of the TAP free energy and AMP convergence for \(\mathbb{Z}_2\)-synchronizationSparse probit linear mixed modelFast exact Bayesian inference for sparse signals in the normal sequence modelVariational Bayes for High-Dimensional Linear Regression With Sparse PriorsConvergence rates of variational posterior distributionsA novel variational Bayesian method for variable selection in logistic regression modelsLearning from a lot: Empirical Bayes for high‐dimensional model‐based predictionThe variational GarroteEstimating the Effects of Fine Particulate Matter on 432 Cardiovascular Diseases Using Multi-Outcome Regression With Tree-Structured ShrinkageFast model-fitting of Bayesian variable selection regression using the iterative complex factorization algorithmExpectation propagation in linear regression models with spike-and-slab priorsConsistency of variational Bayes inference for estimation and model selection in mixturesBayesian Bootstrap Spike-and-Slab LASSOA novel Bayesian approach for variable selection in linear regression modelsConditionally conjugate mean-field variational Bayes for logistic modelsTheory of optimal Bayesian feature filteringVariational Inference of Linear Regression with Nonzero Prior MeansBIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With ApplicationsVariational Bayesian inference for network autoregression modelsSkinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model SelectionSparse linear mixed model selection via streamlined variational BayesUnnamed Item




This page was built for publication: Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies