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Functional Regression for Densely Observed Data With Novel Regularization.

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Title: Functional Regression for Densely Observed Data With Novel Regularization.
Authors: Luo, Ruiyan1, Qi, Xin2
Source: Journal of Computational & Graphical Statistics; Jan-Mar2021, Vol. 30 Issue 1, p220-235, 16p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Functional Regression for Densely Observed Data With Novel Regularization.
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  Data: <searchLink fieldCode="AU" term="%22Luo%2C+Ruiyan%22">Luo, Ruiyan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Qi%2C+Xin%22">Qi, Xin</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+%26+Graphical+Statistics%22">Journal of Computational & Graphical Statistics</searchLink>; Jan-Mar2021, Vol. 30 Issue 1, p220-235, 16p
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    Identifiers:
      – Type: doi
        Value: 10.1080/10618600.2020.1807994
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 220
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      – TitleFull: Functional Regression for Densely Observed Data With Novel Regularization.
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            NameFull: Luo, Ruiyan
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            NameFull: Qi, Xin
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            – D: 01
              M: 01
              Text: Jan-Mar2021
              Type: published
              Y: 2021
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