Weighted Pseudo-Metrics for Finite-Sample Improvement in Functional Nonparametric Regression

Kwo Lik CHAN; Delsol Laurent; Aldo GOIA

doi:10.1007/978-3-032-30877-1

Weighted Pseudo-Metrics for Finite-Sample Improvement in Functional Nonparametric Regression

Kwo Lik CHAN
, Delsol Laurent
, Aldo GOIA

Dipartimento di Studi per l'Economia e l'Impresa

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

Abstract

In functional nonparametric regression, the choice of a pseudo-metric plays a pivotal role as it influences the type of models under consideration. This work introduces the notion of a weighted pseudo-metric and provides a discussion of its construction.The effects and the performances of the choices of pseudo-metric used are compared in an application to real data.

Lingua originale	Inglese
Pagine	573-577
Numero di pagine	5
DOI	https://doi.org/10.1007/978-3-032-30877-1
Stato di pubblicazione	Pubblicato - 2026
Evento	Joint Meeting SIS-FENStatS 2026 - Roma Durata: 1 gen 2026 → …

???event.eventtypes.event.conference???

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

Keywords

functional data
nonparametric regression
pseudo-metric

Accesso al documento

10.1007/978-3-032-30877-1

https://hdl.handle.net/11579/234982

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AU - CHAN, Kwo Lik

AU - Laurent, Delsol

AU - GOIA, Aldo

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N2 - In functional nonparametric regression, the choice of a pseudo-metric plays a pivotal role as it influences the type of models under consideration. This work introduces the notion of a weighted pseudo-metric and provides a discussion of its construction.The effects and the performances of the choices of pseudo-metric used are compared in an application to real data.

AB - In functional nonparametric regression, the choice of a pseudo-metric plays a pivotal role as it influences the type of models under consideration. This work introduces the notion of a weighted pseudo-metric and provides a discussion of its construction.The effects and the performances of the choices of pseudo-metric used are compared in an application to real data.

KW - functional data

KW - nonparametric regression

KW - pseudo-metric

KW - functional data

KW - nonparametric regression

KW - pseudo-metric

UR - https://iris.uniupo.it/handle/11579/234982

U2 - 10.1007/978-3-032-30877-1

DO - 10.1007/978-3-032-30877-1

M3 - Paper

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T2 - Joint Meeting SIS-FENStatS 2026

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ER -

Weighted Pseudo-Metrics for Finite-Sample Improvement in Functional Nonparametric Regression

Abstract

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Keywords

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