Multivariate Functional Regression Analysis with Application to Classification Problems

  • Tomasz Górecki
  • Mirosław Krzyśko
  • Waldemar Wołyński
Conference paper
First Online:
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Multivariate functional data analysis is an effective approach to dealing with multivariate and complex data. These data are treated as realizations of multivariate random processes; the objects are represented by functions. In this paper we discuss different types of regression model: linear and logistic. Various methods of representing functional data are also examined. The approaches discussed are illustrated with an application to two real data sets.

Keywords

Linear Discriminant Analysis Functional Data Classification Classification Multivariate Sample Functional Data Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Tomasz Górecki
    • 1
  • Mirosław Krzyśko
    • 1
  • Waldemar Wołyński
    • 1
  1. 1.Faculty of Mathematics and Computer ScienceAdam Mickiewicz UniversityPoznańPoland

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