A novel variable selection method in nonlinear multivariate models using B-splines with an application to geoscience

Authors

Mary Savino (ORCID: https://orcid.org/0009-0001-2236-2569)
Céline Lévy‐Leduc (ORCID: https://orcid.org/0000-0001-9792-8806)

Institutions

Université Paris Cité (FR)
AgroParisTech (FR)
Université Paris-Saclay (FR)
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
Département mathématiques, informatique, sciences de la donnée et technologies du numérique (FR)
Agence Nationale pour la Gestion des Déchets Radioactifs (FR)
Mathématiques et Informatique Appliquées

Publication Details

Journal: Journal of Applied Statistics
Published: 2025-12-09
DOI: https://doi.org/10.1080/02664763.2025.2599838
Primary Topic: Advanced Statistical Methods and Models
Type: article
Field-Weighted Citation Impact: 0.00

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article

A novel variable selection method in nonlinear multivariate models using B-splines with an application to geoscience

Mary Savino, Céline Lévy‐Leduc

Dec 9, 2025

Journal of Applied Statistics

Advanced Statistical Methods and Models

article

A novel variable selection method in nonlinear multivariate models using B-splines with an application to geoscience

Mary Savino, Céline Lévy‐Leduc

December 9, 2025article en

Abstract

No abstract available for this paper.

Journal of Applied Statistics

Université Paris Cité (FR), AgroParisTech (FR), Université Paris-Saclay (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Département mathématiques, informatique, sciences de la donnée et technologies du numérique (FR), Agence Nationale pour la Gestion des Déchets Radioactifs (FR), Mathématiques et Informatique Appliquées

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Advanced Statistical Methods and Models

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A novel variable selection method in nonlinear multivariate models using B-splines with an application to geoscience — Mary Savino, Céline Lévy‐Leduc · Journal of Applied Statistics (2025) | TGRS Research Map | TGRS