Wasserstein Regression

10.1080/01621459.2021.1956937

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Bibliographic Details
Main Authors:	Yaqing Chen, Zhenhua Lin, Hans-Georg M uller
Other Authors:	STATISTICS AND DATA SCIENCE
Format:	Article
Published:	Taylor & Francis 2023
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/242101
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-242101
record_format	dspace
spelling	sg-nus-scholar.10635-2421012023-08-30T22:16:58Z Wasserstein Regression Yaqing Chen Zhenhua Lin Hans-Georg M uller STATISTICS AND DATA SCIENCE 10.1080/01621459.2021.1956937 Journal of the American Statistical Association 118 542 869-882 2023-06-19T05:12:23Z 2023-06-19T05:12:23Z 2021-10-04 Article Yaqing Chen, Zhenhua Lin, Hans-Georg M uller (2021-10-04). Wasserstein Regression. Journal of the American Statistical Association 118 (542) : 869-882. ScholarBank@NUS Repository. https://doi.org/10.1080/01621459.2021.1956937 0162-1459 https://scholarbank.nus.edu.sg/handle/10635/242101 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	10.1080/01621459.2021.1956937
author2	STATISTICS AND DATA SCIENCE
author_facet	STATISTICS AND DATA SCIENCE Yaqing Chen Zhenhua Lin Hans-Georg M uller
format	Article
author	Yaqing Chen Zhenhua Lin Hans-Georg M uller
spellingShingle	Yaqing Chen Zhenhua Lin Hans-Georg M uller Wasserstein Regression
author_sort	Yaqing Chen
title	Wasserstein Regression
title_short	Wasserstein Regression
title_full	Wasserstein Regression
title_fullStr	Wasserstein Regression
title_full_unstemmed	Wasserstein Regression
title_sort	wasserstein regression
publisher	Taylor & Francis
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/242101
_version_	1779155872202620928

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