Browsing Institute of New Imaging Technologies (INIT) by Keyword "functional data analysis"
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Analysis of variance for spatially correlated functional data: Application to brain data
Elsevier (2019)Functional data showing spatial dependence structure occur in many applied fields. For example, in meteorology when curves of temperature are obtained in a monitoring network, or in neurological studies when curves of the ... -
Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data
Springer (2020)This paper treats functional marked point processes (FMPPs), which are defined asmarked point processes where the marks are random elements in some (Polish) func-tion space. Such marks may represent, for example, spatial ... -
Generalized Linear Models for Geometrical Current predictors. An application to predict garment fit
SAGE Publications (2019)The aim of this paper is to model an ordinal response variable in terms of vector-valued functional data included on a vector-valued RKHS. In particular, we focus on the vector-valued RKHS obtained when a geometrical ... -
Heteroskedastic geographically weighted regression model for functional data
Elsevier (2020)A large number of approaches for modelling spatially dependent functional variables often assume that the functional regression coefficients are constant over the region of interest. However, in many occasions it is far ... -
Supervised classification of geometrical objects by integrating currents and functional data analysis
Springer Verlag (2019)This paper focuses on the application of supervised classification techniques to a set of geometrical objects (bodies) characterized by currents, in particular, discriminant analysis and some nonparametric methods. A current ...