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Bases Giving Distances. A New Semimetric and its Use for Nonparemetric Functional Data Analysis

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Timmermans, Catherine [UCL] Delsol, Laurent [Université Paul Sabatier, Toulouse, France] von Sachs, Rainer [UCL]

The BAGIDIS semimetric is a highly adaptivewavelet-based semimetric. It is particularly suited for dealing with curves presenting horizontally- and verticallyvarying sharp local patterns. One can advantageously make use of this semimetric in the framework of nonparametric functional data analysis.

Document type Contribution à ouvrage collectif (Book Chapter)
Access type Accès restreint
Publication date 2011
Language Anglais
Host document Ferraty Frédéric (eds.) ; "Recent Advances in Functional Data Analysis and Related Topics"- p. 307-313 (2011) (ISBN : 978-3-7908-2736-1)
Peer reviewed yes
Publisher Springer
Publication status Publié
Affiliations UCL - SSH/LIDAM/ISBA - Institut de Statistique, Biostatistique et Sciences Actuarielles
Université Paul Sabatier, Toulouse, France - Institut de Mathématiques de Toulouse
Links
Bibliographic reference Timmermans, Catherine ; Delsol, Laurent ; von Sachs, Rainer. Bases Giving Distances. A New Semimetric and its Use for Nonparemetric Functional Data Analysis. In: Ferraty Frédéric (eds.), Recent Advances in Functional Data Analysis and Related Topics, Springer  2011, p. 307-313 (2011)
Permanent URL http://hdl.handle.net/2078.1/93541