Some results on statistics and functional data analysis

This paper presents some recent results on regression and classification in Functional Data Analysis setting. The first work decated to Multiple kernel SVM for classifying functional data in Sobolev spaces focus on optimization of the information from each derivatives of the original functions, the...

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Main Authors: Dabo-Niang Sophie, Ah-Pine Julien, Llop Pamela, Yao Anne-Francoise
Format: Article
Language:English
Published: EDP Sciences 2023-11-01
Series:ESAIM: Proceedings and Surveys
Online Access:https://www.esaim-proc.org/articles/proc/pdf/2023/03/proc230801.pdf
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author Dabo-Niang Sophie
Ah-Pine Julien
Llop Pamela
Yao Anne-Francoise
author_facet Dabo-Niang Sophie
Ah-Pine Julien
Llop Pamela
Yao Anne-Francoise
author_sort Dabo-Niang Sophie
collection DOAJ
description This paper presents some recent results on regression and classification in Functional Data Analysis setting. The first work decated to Multiple kernel SVM for classifying functional data in Sobolev spaces focus on optimization of the information from each derivatives of the original functions, the second work devoted to An input/output-based aggregation rule for functional data classification when the last is interested with the problem of regression if the functional data lives in a finite dimensionnal submanifold.
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spelling doaj.art-3b58df02c4bb42f58a780898cfafb4242024-01-26T16:41:54ZengEDP SciencesESAIM: Proceedings and Surveys2267-30592023-11-017421810.1051/proc/202374002proc230801Some results on statistics and functional data analysisDabo-Niang Sophie0Ah-Pine Julien1Llop Pamela2Yao Anne-Francoise3Université de Lille, Laboratoire Painleve, UMR 8524Université de Lyon, Lyon 2, ERIC UR 3083 & Université Clermont Auvergne, LMBP-CMRS, UMR 6620 & Université Clermont Auvergne, CERDI-CNRS-IRD, UMR 6587Facultad de Ingeniería Química - Universidad Nacional del Litoral (UNL) and CONICETUniversité Clermont Auvergne, LMBP-CMRS, UMR 6620This paper presents some recent results on regression and classification in Functional Data Analysis setting. The first work decated to Multiple kernel SVM for classifying functional data in Sobolev spaces focus on optimization of the information from each derivatives of the original functions, the second work devoted to An input/output-based aggregation rule for functional data classification when the last is interested with the problem of regression if the functional data lives in a finite dimensionnal submanifold.https://www.esaim-proc.org/articles/proc/pdf/2023/03/proc230801.pdf
spellingShingle Dabo-Niang Sophie
Ah-Pine Julien
Llop Pamela
Yao Anne-Francoise
Some results on statistics and functional data analysis
ESAIM: Proceedings and Surveys
title Some results on statistics and functional data analysis
title_full Some results on statistics and functional data analysis
title_fullStr Some results on statistics and functional data analysis
title_full_unstemmed Some results on statistics and functional data analysis
title_short Some results on statistics and functional data analysis
title_sort some results on statistics and functional data analysis
url https://www.esaim-proc.org/articles/proc/pdf/2023/03/proc230801.pdf
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