We introduce a generalization of the simplicial depth measure to multivariate functional data, exploiting the role of the variance-covariance operators in weighting the components that define the depth. We propose the use of this nonparametric method for supervised classification purpose.

Multivariate functional data depth measure based on variance-covariance operators / R. Biasi, F. Ieva, A.M. Paganoni, N. Tarabelloni - In: Contributions in infinite dimensional statistics and related topics / [a cura di] E. Bongiorno, A. Goia, E. Salinelli, P. Vieu. - [s.l] : ESCULAPIO, 2014 Jun 18. - ISBN 978-88-7488-763-7. - pp. 49-54 (( Intervento presentato al 3. convegno International Workshop on Functional and Operatorial Statistics tenutosi a Stresa nel 2014.

Multivariate functional data depth measure based on variance-covariance operators

F. Ieva
Secondo
;
2014

Abstract

We introduce a generalization of the simplicial depth measure to multivariate functional data, exploiting the role of the variance-covariance operators in weighting the components that define the depth. We propose the use of this nonparametric method for supervised classification purpose.
Settore SECS-S/01 - Statistica
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/237130
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