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General Nonlinear Function-on-Function Regression via Functional Universal Approximation.

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Bibliographic Details
Title: General Nonlinear Function-on-Function Regression via Functional Universal Approximation.
Authors: Luo, Ruiyan1, rluo@gsu.edu, Qi, Xin2
Source: Journal of Computational & Graphical Statistics; Apr-Jun2024, Vol. 33 Issue 2, p578-587, 10p
Database: Applied Science & Technology Source
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  Data: General Nonlinear Function-on-Function Regression via Functional Universal Approximation.
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  Data: <searchLink fieldCode="AU" term="%22Luo%2C+Ruiyan%22">Luo, Ruiyan</searchLink><relatesTo>1</relatesTo>, <i>rluo@gsu.edu</i><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>; Apr-Jun2024, Vol. 33 Issue 2, p578-587, 10p
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        Value: 10.1080/10618600.2023.2252033
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      – Code: eng
        Text: English
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        PageCount: 10
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              Text: Apr-Jun2024
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              Y: 2024
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