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DC Field | Value | Language |
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dc.contributor.author | Yu, K | - |
dc.contributor.author | Jiang, R | - |
dc.date.accessioned | 2021-09-13T15:00:03Z | - |
dc.date.available | 2021-09-13T15:00:03Z | - |
dc.date.issued | 2021-08-27 | - |
dc.identifier.citation | Jiang, 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.issn | 0925-2312 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23220 | - |
dc.format.extent | 311 - 326 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 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.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | quantile regression | en_US |
dc.subject | massive data | en_US |
dc.subject | high-dimensional data | en_US |
dc.subject | distributed estimator | en_US |
dc.title | Smoothing quantile regression for a distributed system | en_US |
dc.type | Article | en_US |
dc.date.dateAccepted | 2021-08-20 | - |
dc.identifier.doi | https://doi.org/10.1016/j.neucom.2021.08.101 | - |
dc.relation.isPartOf | Neurocomputing | - |
pubs.publication-status | Published | - |
pubs.volume | 466 | - |
dc.identifier.eissn | 1872-8286 | - |
dc.rights.license | https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en | - |
dc.rights.holder | Elsevier | - |
Appears in Collections: | Dept of Mathematics Research Papers |
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FullText.pdf | Copyright © 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 kB | Adobe PDF | View/Open |
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