Variable selection for partially linear models via learning gradients

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

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Detail(s)

Original languageEnglish
Pages (from-to)2907-2930
Journal / PublicationElectronic Journal of Statistics
Volume11
Issue number2
Publication statusOnline published - 8 Aug 2017

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Publisher's Copyright Statement
  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-85027417141&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(caf1844d-64a4-41d2-9a45-cd4155b28d15).html

Research Area(s)

  • Gradient learning, Group Lasso, High-dimensional data, PLM, Reproducing kernel Hilbert space, Variable selection

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[ RIS ] [ BibTeX ]
Variable selection for partially linear models via learning gradients. / Yang, Lei; Fang, Yixin; Wang, Junhui et al.
In: Electronic Journal of Statistics, Vol. 11, No. 2, 08.08.2017, p. 2907-2930.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

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