On Functional Data Analysis and Related Topics

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UDC.coleccionInvestigación
UDC.departamentoMatemáticas
UDC.grupoInvModelización, Optimización e Inferencia Estatística (MODES)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.journalTitleJournal of Multivariate Analysis
UDC.startPage104861
UDC.volume189
dc.contributor.authorAneiros, Germán
dc.contributor.authorHorová, Ivana
dc.contributor.authorHušková, Marie
dc.contributor.authorVieu, Philippe
dc.date.accessioned2026-09-17T07:49:05Z
dc.date.available2026-09-17T07:49:05Z
dc.date.issued2022
dc.descriptionAccepted version: ©2022 Elsevier B.V. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. This version of the article has been accepted for publication in Journal of Multivariate Analysis. The Version of Record is available online at https://doi.org/10.1016/j.jmva.2021.104861
dc.description.abstract[Abstract]: This paper aims to present the various contributions to the Special Issue of the Journal of Multivariate Analysis on Functional Data Analysis and some related topics including High-Dimensional Statistics and Multivariate Analysis of complex data. The presentation is made by emphasizing on how the contributions are behaving among recent trends in the fields, in such a way that this paper can also be viewed as a selected bibliographical discussion about recent advances in these topics.
dc.description.sponsorshipThe research by G. Aneiros and P. Vieu was supported in part by the MINECO (Ministerio de Economía, Industria 𝑦 Competitividad), Spain Grant MTM2017-82724-R and the MICINN (Ministerio de Ciencia e Innovación), Spain Grant PID2020-113578RB-I00 (EU ERDF support included). G. Aneiros also thanks the partial support by the Xunta de Galicia, Spain (Grupos de Referencia Competitiva ED431C-2020-14 and Centro Singular de Investigación del Sistema Universitario de Galicia ED431G 2019/01), all of them through the ERDF. The research of Marie Hušková was partially supported by Czech Science Foundation , grants GACR 18-08888S and 21-13323S.
dc.description.sponsorshipXunta de Galicia; ED431C-2020-14
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01
dc.description.sponsorshipCzech Republic. Czech Science Foundation; GACR 18-08888S
dc.description.sponsorshipCzech Republic. Czech Science Foundation; 21-13323S
dc.identifier.citationG. Aneiros, I. Horová, M. Hušková, and P. Vieu, "On Functional Data Analysis and Related Topics", Journal of Multivariate Analysis, Vol. 189, 104861, May 2022, https://doi.org/10.1016/j.jmva.2021.104861
dc.identifier.doi10.1016/j.jmva.2021.104861
dc.identifier.issn1095-7243
dc.identifier.urihttps://hdl.handle.net/2183/49286
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MTM2017-82724-R/ES/INFERENCIA ESTADISTICA FLEXIBLE PARA DATOS COMPLEJOS DE GRAN VOLUMEN Y DE ALTA DIMENSION
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113578RB-I00/ES/METODOS ESTADISTICOS FLEXIBLES EN CIENCIA DE DATOS PARA DATOS COMPLEJOS Y DE GRAN VOLUMEN: TEORIA Y APLICACIONES/
dc.relation.urihttps://doi.org/10.1016/j.jmva.2021.104861
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFunctional analysis
dc.subjectHigh-dimensional statistics
dc.subjectSurvey
dc.titleOn Functional Data Analysis and Related Topics
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublication449cae44-40ef-41ac-994a-834bd5a05b2f
relation.isAuthorOfPublication.latestForDiscovery449cae44-40ef-41ac-994a-834bd5a05b2f

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