Activity Number:
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71
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Type:
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Contributed
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Date/Time:
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Monday, August 12, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics*
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Abstract - #300548 |
Title:
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Wavelet-Based Estimation of a Discriminant Function
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Author(s):
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Woojin Chang*+ and Seong-Hee Kim and Brani Vidakovic
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Affiliation(s):
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Georgia Institute of Technology and Georgia Institute of Technology and Georgia Institute of Technology
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Address:
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Georgia Institute of Technology, Atlanta, Georgia, 30332-0265, USA
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Keywords:
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Discrimination ; Wavelets ; Regression
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Abstract:
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In this presentation we consider wavelet-based discrimination functions. Both consistency results and implementational issues are addressed. We show that, under mild assumptions on design density, wavelet discrimination rules are L_2-consistent. The method is illustrated on synthetic data sets in which the "truth" is known, and on an applied discrimination problem from the industrial field of paper production.
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