Some recent developments on functional data analysis

Recent contributions to functional data analysis are presented. Various problems are considered including the definition of the barycenter of multivariate functional data and the adaptive nonparametric estimation in the functional linear model with functional output.

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Publication Details

Journal
ESAIM Proceedings and Surveys
Published
2025-01-01
DOI
https://doi.org/10.1051/proc/202580072
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Some recent developments on functional data analysis

Émilie Devijver, Jairo Cugliari, Anouar Meynaoui, Raphaël Mignot
ESAIM Proceedings and Surveys
Computational Drug Discovery Methods
article

Some recent developments on functional data analysis

Émilie Devijver, Jairo Cugliari, Anouar Meynaoui, Raphaël Mignot
article en

Abstract

Recent contributions to functional data analysis are presented. Various problems are considered including the definition of the barycenter of multivariate functional data and the adaptive nonparametric estimation in the functional linear model with functional output.

ESAIM Proceedings and SurveysVol. 80
Université Claude Bernard Lyon 1 (FR), Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Institut Élie Cartan de Lorraine (FR), Laboratoire d'Informatique de Grenoble (FR), Institut de recherche mathématique de Rennes (FR), Université de Rennes (FR), Université Grenoble Alpes (FR), Université de Lorraine (FR)
Openalex Percentile: Top 94%
Computational Drug Discovery Methods
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Some recent developments on functional data analysis — Émilie Devijver, Jairo Cugliari, et al. · ESAIM Proceedings and Surveys (2025) | TGRS Research Map | TGRS