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Activity Number: 249
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #308260
Title: A Method for Dimension Reduction in Classification with Functional Data
Author(s): Santiago Velilla*+
Companies: Universidad Carlos III de Madrid
Address: Calle Madrid 126, Getafe Madrid, 28903, Spain
Keywords: basis expansions ; canonical correlation analysis ; functional dimension-reduction subspaces
Abstract:

A method for dimension reduction in discriminant analysis with functional data is presented. The basic idea is to generalize the concept of dimension-reduction subspace in the finite-dimensional case to the context in which the observations arise from a stochastic process. A well-known data example is analyzed. Comparisons with other approaches in this area are also given.

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