Nonparametric Ordinal Regression with a Functional Covariate

Kwo Lik CHAN; Aldo GOIA

doi:10.1007/978-3-032-30881-8_70

Nonparametric Ordinal Regression with a Functional Covariate

Dipartimento di Studi per l'Economia e l'Impresa

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer review

Abstract

The paper illustrates how to treat the ordinal regression model when the covariate is functional in nature. In particular nonparametric approaches are presented. To improve the quality of the estimate and overcome the lack of interpretability, a weighted semi-norm is introduced. The performances of the methods are compared on a real dataset with semi-parametric and logistic models.

Lingua originale	Inglese
Pagine	433-438
Numero di pagine	6
DOI	https://doi.org/10.1007/978-3-032-30881-8_70
Stato di pubblicazione	Pubblicato - 2026
Evento	Joint Meeting SIS-FENStatS 2026 - Roma Durata: 1 gen 2026 → …

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???event.eventtypes.event.conference???	Joint Meeting SIS-FENStatS 2026
Città	Roma
Periodo	1/01/26 → …

Keywords

Ordinal regression
functional data
nonparametric approaches

Accesso al documento

10.1007/978-3-032-30881-8_70

https://hdl.handle.net/11579/236923

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KW - functional data

KW - nonparametric approaches

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KW - functional data

KW - nonparametric approaches

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Nonparametric Ordinal Regression with a Functional Covariate

Abstract

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Keywords

Accesso al documento

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