A $k$NN procedure in semiparametric functional data analysis
Fuente:
arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914654216781824 |
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| author | Novo, Silvia Aneiros, Germán Vieu, Philippe |
| author_facet | Novo, Silvia Aneiros, Germán Vieu, Philippe |
| contents | A fast and flexible $k$NN procedure is developed for dealing with a semiparametric functional regression model involving both partial-linear and single-index components. Rates of uniform consistency are presented. Simulated experiments highlight the advantages of the $k$NN procedure. A real data analysis is also shown. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_14848 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A $k$NN procedure in semiparametric functional data analysis Novo, Silvia Aneiros, Germán Vieu, Philippe Methodology 62G08, 62G20 A fast and flexible $k$NN procedure is developed for dealing with a semiparametric functional regression model involving both partial-linear and single-index components. Rates of uniform consistency are presented. Simulated experiments highlight the advantages of the $k$NN procedure. A real data analysis is also shown. |
| title | A $k$NN procedure in semiparametric functional data analysis |
| topic | Methodology 62G08, 62G20 |
| url | https://arxiv.org/abs/2401.14848 |