Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23220
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYu, K-
dc.contributor.authorJiang, R-
dc.date.accessioned2021-09-13T15:00:03Z-
dc.date.available2021-09-13T15:00:03Z-
dc.date.issued2021-08-27-
dc.identifier.citationJiang, R. and Yu, K. (2021) 'Smoothing quantile regression for a distributed system', Neurocomputing, 466, pp. 311 - 326 . doi: 10.1016/j.neucom.2021.08.101.en_US
dc.identifier.issn0925-2312-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23220-
dc.format.extent311 - 326-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2021 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ (see: https://www.elsevier.com/about/policies/sharing).-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectquantile regressionen_US
dc.subjectmassive dataen_US
dc.subjecthigh-dimensional dataen_US
dc.subjectdistributed estimatoren_US
dc.titleSmoothing quantile regression for a distributed systemen_US
dc.typeArticleen_US
dc.date.dateAccepted2021-08-20-
dc.identifier.doihttps://doi.org/10.1016/j.neucom.2021.08.101-
dc.relation.isPartOfNeurocomputing-
pubs.publication-statusPublished-
pubs.volume466-
dc.identifier.eissn1872-8286-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en-
dc.rights.holderElsevier-
Appears in Collections:Dept of Mathematics Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2021 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ (see: https://www.elsevier.com/about/policies/sharing).332.8 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons