ANEIROS, Germán, Ivanka HOROVÁ, Marie HUŠKOVÁ and Philippe VIEU. On functional data analysis and related topics. Journal of Multivariate Analysis. San Diego: Elsevier, 2022, vol. 189, May, p. 104861-104868. ISSN 0047-259X. Available from: https://dx.doi.org/10.1016/j.jmva.2021.104861.
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Basic information
Original name On functional data analysis and related topics
Authors ANEIROS, Germán, Ivanka HOROVÁ (203 Czech Republic, belonging to the institution), Marie HUŠKOVÁ and Philippe VIEU (guarantor).
Edition Journal of Multivariate Analysis, San Diego, Elsevier, 2022, 0047-259X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10103 Statistics and probability
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 1.600
RIV identification code RIV/00216224:14310/22:00125578
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1016/j.jmva.2021.104861
UT WoS 000759649300014
Keywords in English Functional analysis; High-dimensional statistics; Survey
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 25/3/2022 10:15.
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.
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