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Nonparametric regression method with functional covariates and multivariate response

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journal contribution
posted on 22.03.2018, 09:49 by Bo Wang, Kurdistan M. T. Omar
Nonparametric regression methods have been widely studied in functional regression analysis in the context of functional covariates and univariate response, but it is not the case for functional covariates with multivariate response. In this paper, we present two new solutions for the latter problem: the first is to directly extend the nonparametric method for univariate response to multivariate response, and in the second, the correlation among different responses is incorporated into the model. The asymptotic properties of the estimators are studied, and the effectiveness of the proposed methods is demonstrated through several simulation studies and a real data example.

History

Citation

Communications in Statistics - Theory and Methods, 2017

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Mathematics

Version

AM (Accepted Manuscript)

Published in

Communications in Statistics - Theory and Methods

Publisher

Taylor & Francis

issn

0361-0926

eissn

1532-415X

Acceptance date

22/11/2017

Copyright date

2017

Available date

20/12/2018

Publisher version

https://www.tandfonline.com/doi/full/10.1080/03610926.2017.1410716

Notes

The file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.

Language

en

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