Kernel depth funcions for functional data

Nicolás Jorge Hernández Banadik and Alberto Muñoz García

DES - Working Papers. Statistics and Econometrics. WS from Universidad Carlos III de Madrid. Departamento de Estadística

Abstract: In the last years the concept of data depth has been increasingly used in Statistics as a center-outward ordering of sample points in multivariate data sets. Recently data depth has been extended to functional data. In this paper we propose new intrinsic functional data depths based on the representation of functional data on Reproducing Kernel Hilbert Spaces, and test its performance against a number of well known alternatives in the problem of functional outlier detection.

Keywords: Kernel; depth; Functional; Data; Analysis; Reproducing; Kernel; Hilbert; Spaces; Outlier; detection (search for similar items in EconPapers)
Date: 2017-04
New Economics Papers: this item is included in nep-dcm and nep-ecm
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Persistent link: https://EconPapers.repec.org/RePEc:cte:wsrepe:24615

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