BIVAS: A scalable Bayesian method for bi-level variable selection with applications
Journal of Computational and Graphical Statistics
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2020
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sg-nus-scholar.10635-1708802021-12-02T08:10:28Z BIVAS: A scalable Bayesian method for bi-level variable selection with applications Mingxuan CAI Mingwei Dai Jingsi Ming Heng Peng Jin Liu Can Yang DUKE-NUS MEDICAL SCHOOL Journal of Computational and Graphical Statistics 29 1 40-52 2020-07-03T01:37:26Z 2020-07-03T01:37:26Z 2019-07-19 Mingxuan CAI, Mingwei Dai, Jingsi Ming, Heng Peng, Jin Liu, Can Yang (2019-07-19). BIVAS: A scalable Bayesian method for bi-level variable selection with applications. Journal of Computational and Graphical Statistics 29 (1) : 40-52. ScholarBank@NUS Repository. 1061-8600 https://scholarbank.nus.edu.sg/handle/10635/170880 Taylor & Francis Taylor & Francis |
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Journal of Computational and Graphical Statistics |
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DUKE-NUS MEDICAL SCHOOL |
author_facet |
DUKE-NUS MEDICAL SCHOOL Mingxuan CAI Mingwei Dai Jingsi Ming Heng Peng Jin Liu Can Yang |
author |
Mingxuan CAI Mingwei Dai Jingsi Ming Heng Peng Jin Liu Can Yang |
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Mingxuan CAI Mingwei Dai Jingsi Ming Heng Peng Jin Liu Can Yang BIVAS: A scalable Bayesian method for bi-level variable selection with applications |
author_sort |
Mingxuan CAI |
title |
BIVAS: A scalable Bayesian method for bi-level variable selection with applications |
title_short |
BIVAS: A scalable Bayesian method for bi-level variable selection with applications |
title_full |
BIVAS: A scalable Bayesian method for bi-level variable selection with applications |
title_fullStr |
BIVAS: A scalable Bayesian method for bi-level variable selection with applications |
title_full_unstemmed |
BIVAS: A scalable Bayesian method for bi-level variable selection with applications |
title_sort |
bivas: a scalable bayesian method for bi-level variable selection with applications |
publisher |
Taylor & Francis |
publishDate |
2020 |
url |
https://scholarbank.nus.edu.sg/handle/10635/170880 |
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1718367758109900800 |