文章基本信息

标题：CLASSIFICATION PROBLEMS BASED ON REGRESSION MODELS FOR MULTI-DIMENSIONAL FUNCTIONAL DATA
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作者：Tomasz Górecki ; Mirosław Krzyśko ; Waldemar Wołyński 等
期刊名称：Statistics in Transition
印刷版ISSN：1234-7655
电子版ISSN：2450-0291
出版年度：2015
卷号：16
期号：1
页码：97-110
DOI：10.21307/stattrans-2015-006
出版社：Exeley Inc.
摘要：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.
关键词：multivariate functional data;functional data analysis;multivariate functional regression;classification.