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

Tomasz Górecki; Mirosław Krzysko; Waldemar Wołynski

doi:https://doi.org/10.59170/stattrans-2015-006

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

Tomasz Górecki Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland , Mirosław Krzysko Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland , Waldemar Wołynski Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland. Statistics in Transition new series, vol. 16, 2015, 1, pages: 97-110 Published online: 2 March 2015 https://doi.org/10.59170/stattrans-2015-006

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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.

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