Open AccessDependent Functional Data
Author(s) -
Piotr Kokoszka
Publication year - 2012
Publication title -
isrn probability and statistics
Language(s) - English
Resource type - Journals
eISSN - 2090-472X
pISSN - 2090-4711
DOI - 10.5402/2012/958254
Subject(s) - computer science , functional data analysis , functional principal component analysis , focus (optics) , data mining , machine learning , physics , optics
This paper reviews recent research on dependent functional data. After providing an introduction to functional data analysis, we focus on two types of dependent functional data structures: time series of curves and spatially distributed curves. We review statistical models, inferential methodology, and possible extensions. The paper is intended to provide a concise introduction to the subject with plentiful references.
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