Classification problems based on regression models for multi-dimensional functional data

• Authors: Górecki Tomasz , Krzyśko Mirosław , Wołyński Waldemar
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

multivariate functional data; functional data analysis; multivariate functional regression; classification

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2015
• Volume: 16
• Issue: 1
• Pages: 97–110

Contributors

author

Górecki Tomasz

• Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland

author

Krzyśko Mirosław

• Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland

author

Wołyński Waldemar

• Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland

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