Marginally Calibrated Deep Distributional Regression

10.1080/10618600.2020.1807996

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Bibliographic Details
Main Authors: Nadja Klein, DAVID NOTT, Michael Smith
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Article
Published: Taylor & Francis 2021
Online Access:https://scholarbank.nus.edu.sg/handle/10635/194502
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1945022024-04-03T05:45:56Z Marginally Calibrated Deep Distributional Regression Nadja Klein DAVID NOTT Michael Smith STATISTICS & APPLIED PROBABILITY 10.1080/10618600.2020.1807996 Journal of Computational and Graphical Statistics 30 2 467-483 2021-07-20T09:38:36Z 2021-07-20T09:38:36Z 2020-09-29 Article Nadja Klein, DAVID NOTT, Michael Smith (2020-09-29). Marginally Calibrated Deep Distributional Regression. Journal of Computational and Graphical Statistics 30 (2) : 467-483. ScholarBank@NUS Repository. https://doi.org/10.1080/10618600.2020.1807996 10618600 https://scholarbank.nus.edu.sg/handle/10635/194502 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 10.1080/10618600.2020.1807996
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
Nadja Klein
DAVID NOTT
Michael Smith
format Article
author Nadja Klein
DAVID NOTT
Michael Smith
spellingShingle Nadja Klein
DAVID NOTT
Michael Smith
Marginally Calibrated Deep Distributional Regression
author_sort Nadja Klein
title Marginally Calibrated Deep Distributional Regression
title_short Marginally Calibrated Deep Distributional Regression
title_full Marginally Calibrated Deep Distributional Regression
title_fullStr Marginally Calibrated Deep Distributional Regression
title_full_unstemmed Marginally Calibrated Deep Distributional Regression
title_sort marginally calibrated deep distributional regression
publisher Taylor & Francis
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/194502
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