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

Mirosław Krzyśko (), Tomasz Górecki () and Waldemar Wołyński ()

Statistics in Transition new series, 2015, vol. 16, issue 1, 97-110

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.

Keywords: multivariate functional data; functional data analysis; multivariate functional regression; classification (search for similar items in EconPapers)
Date: 2015
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Handle: RePEc:csb:stintr:v:16:y:2015:i:1:p:97-110