Abstract Details
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Activity Number:
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543
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Type:
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Contributed
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Date/Time:
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Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Graphics
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| Abstract - #309175 |
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Title:
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Dimension Reduction in Functional Data Classification
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Author(s):
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Santiago Velilla*+
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Companies:
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Universidad Carlos III
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Keywords:
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Basis expansions ;
Functional data analysis ;
Functional dimension-reduction subspaces
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Abstract:
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A procedure for dimension reduction in discriminant analysis when the data are functions is presented. The basic idea is to generalize the concept of dimension-reduction subspace, introduced in the finite-dimensional case by Li (1991) and Cook (1998), to the situation in which the observations arise from a stochastic process. In applications, a functional dimension-reduction subspace can be approximated by a properly chosen finite-dimensional linear manifold. Examples of application with real data are analyzed.
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Authors who are presenting talks have a * after their name.
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