Acceleration of the stochastic search variable selection via componentwise Gibbs sampling
type: Item
instance of: scholarly article
title: Acceleration of the stochastic search variable selection via componentwise Gibbs sampling
zbMATH Open document ID: 1367.62212
author: Hengzhen Huang
author: Min-Qian Liu
author: Zong-Feng Qi
author: Shuang-Shuang Zhou
published in: Metrika
publication date: 2017-04-20T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62K15
zbMATH DE Number: 6706553
zbMATH Keywords: Bayesian variable selection
zbMATH Keywords: Gibbs sampler
zbMATH Keywords: linear regression
zbMATH Keywords: stochastic search variable selection
zbMATH Keywords: supersaturated design
MaRDI profile type: Publication
full work available at URL: s00184-016-0604-x
OpenAlex ID: W2554581679
cites work: Stochastic matching pursuit for Bayesian variable selection
cites work: Q4217133
cites work: A Bayesian Variable-Selection Approach for Analyzing Designed Experiments with Complex Aliasing
cites work: Q4298912
cites work: Q3339960
cites work: Q5706748
cites work: Q4344410
cites work: Supersaturated designs: a review of their construction and analysis
cites work: Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs
cites work: Construction of optimal supersaturated design with large number of levels
cites work: Construction of equidistant and weak equidistant supersaturated designs
cites work: Construction of supersaturated design with large number of factors by the complementary design method
cites work: Analysis of supersaturated designs via the Dantzig selector
cites work: Mathematical Statistics
cites work: On construction of optimal mixed-level supersaturated designs
cites work: The Calculation of Posterior Distributions by Data Augmentation
cites work: Q4378119
cites work: Q5191180
cites work: A two-stage variable selection strategy for supersaturated designs with multiple responses
cites work: A method for screening active effects in supersaturated designs
DOI: 10.1007/S00184-016-0604-X
description: scientific article; zbMATH DE number 6706553