Please use this identifier to cite or link to this item:
https://doi.org/10.1080/10618600.2019.1637747
DC Field | Value | |
---|---|---|
dc.title | Bayesian Deep Net GLM and GLMM | |
dc.contributor.author | Minh-Ngoc Tran | |
dc.contributor.author | Nghia Nguyen | |
dc.contributor.author | David Nott | |
dc.contributor.author | Robert Kohn | |
dc.date.accessioned | 2020-07-01T10:01:33Z | |
dc.date.available | 2020-07-01T10:01:33Z | |
dc.date.issued | 2019-08-16 | |
dc.identifier.citation | Minh-Ngoc Tran, Nghia Nguyen, David Nott, Robert Kohn (2019-08-16). Bayesian Deep Net GLM and GLMM. Journal of Computational and Graphical Statistics 29 (01) : 97-113. ScholarBank@NUS Repository. https://doi.org/10.1080/10618600.2019.1637747 | |
dc.identifier.issn | 10618600 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/170841 | |
dc.publisher | Taylor & Francis | |
dc.source | Taylor & Francis | |
dc.type | Article | |
dc.contributor.department | DEPT OF STATISTICS & APPLIED PROBABILITY | |
dc.description.doi | 10.1080/10618600.2019.1637747 | |
dc.description.sourcetitle | Journal of Computational and Graphical Statistics | |
dc.description.volume | 29 | |
dc.description.issue | 01 | |
dc.description.page | 97-113 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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10.108010618600.2019.1637747.zip | 1.02 MB | ZIP | OPEN | None | View/Download |
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