Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/170880
DC Field | Value | |
---|---|---|
dc.title | BIVAS: A scalable Bayesian method for bi-level variable selection with applications | |
dc.contributor.author | Mingxuan CAI | |
dc.contributor.author | Mingwei Dai | |
dc.contributor.author | Jingsi Ming | |
dc.contributor.author | Heng Peng | |
dc.contributor.author | Jin Liu | |
dc.contributor.author | Can Yang | |
dc.date.accessioned | 2020-07-03T01:37:26Z | |
dc.date.available | 2020-07-03T01:37:26Z | |
dc.date.issued | 2019-07-19 | |
dc.identifier.citation | 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. | |
dc.identifier.issn | 1061-8600 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/170880 | |
dc.publisher | Taylor & Francis | |
dc.source | Taylor & Francis | |
dc.type | Article | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.sourcetitle | Journal of Computational and Graphical Statistics | |
dc.description.volume | 29 | |
dc.description.issue | 1 | |
dc.description.page | 40-52 | |
dc.published.state | Published | |
Appears in Collections: | Elements Staff Publications |
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10.108010618600.2019.1624365.zip | 1.62 MB | ZIP | OPEN | None | View/Download |
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