BIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With Applications

DOI10.1080/10618600.2019.1624365OpenAlexW2963355185MaRDI QIDQ3391445

Jingsi Ming, Jin Liu, Heng Peng, Mingwei Dai, Mingxuan Cai, Can Yang

Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.10439

zbMATH Keywords

parallel computingvariational inferencegroup sparsityBayesian variable selection

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

BIVAS, Two-Level Bayesian Interaction Analysis for Survival Data Incorporating Pathway Information, Variational Bayesian inference for network autoregression models

Uses Software

• R
• ggplot2
• PLINK
• wordcloud
• ANNOVAR
• GCTA
• qqman
• EMVS
• IMDB
• PRMLT

Cites Work

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• ggplot2
• Particle EM for Variable Selection
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• Model Selection and Estimation in Regression with Grouped Variables
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