Bayesian Deep Net GLM and GLMM

10.1080/10618600.2019.1637747

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Bibliographic Details
Main Authors: Minh-Ngoc Tran, Nghia Nguyen, David Nott, Robert Kohn
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Article
Published: Taylor & Francis 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/170841
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1708412024-04-03T05:47:15Z Bayesian Deep Net GLM and GLMM Minh-Ngoc Tran Nghia Nguyen David Nott Robert Kohn STATISTICS & APPLIED PROBABILITY 10.1080/10618600.2019.1637747 Journal of Computational and Graphical Statistics 29 01 97-113 2020-07-01T10:01:33Z 2020-07-01T10:01:33Z 2019-08-16 Article 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 10618600 https://scholarbank.nus.edu.sg/handle/10635/170841 Taylor & Francis Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1080/10618600.2019.1637747
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
Minh-Ngoc Tran
Nghia Nguyen
David Nott
Robert Kohn
format Article
author Minh-Ngoc Tran
Nghia Nguyen
David Nott
Robert Kohn
spellingShingle Minh-Ngoc Tran
Nghia Nguyen
David Nott
Robert Kohn
Bayesian Deep Net GLM and GLMM
author_sort Minh-Ngoc Tran
title Bayesian Deep Net GLM and GLMM
title_short Bayesian Deep Net GLM and GLMM
title_full Bayesian Deep Net GLM and GLMM
title_fullStr Bayesian Deep Net GLM and GLMM
title_full_unstemmed Bayesian Deep Net GLM and GLMM
title_sort bayesian deep net glm and glmm
publisher Taylor & Francis
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/170841
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