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Classification problems based on regression models for multi-dimensional functional data
Authors:
- Tomasz Dariusz Górecki,
- Mirosław Krzyśko,
- Waldemar Wołyński
Abstract
Data in the form of a continuous vector function on a given interval are referred to as multivariate functional data. These data are treated as realizations of multivariate random processes. We use multivariate functional regression techniques for the classification of multivariate functional data. The approaches discussed are illustrated with an application to two real data sets.
- Record ID
- UAMcf4981354b4a49f6877c2f69da789649
- Author
- Journal series
- Statistics in Transition, ISSN 1234-7655, e-ISSN 2450-0291
- Issue year
- 2015
- Vol
- 16
- Pages
- 97-110
- ASJC Classification
- ;
- DOI
- DOI:10.21307/stattrans-2015-006 Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 15
- Score source
- journalList
- Score
- Publication indicators
- = 7; = 11; : 2016 = 0.260
- Citation count
- 12
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- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAMcf4981354b4a49f6877c2f69da789649/
- URN
urn:amu-prod:UAMcf4981354b4a49f6877c2f69da789649
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.