Abstract Details
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Activity Number:
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188
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Type:
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Contributed
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Date/Time:
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Monday, August 5, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #308889 |
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Title:
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Comparison of Nonparametric Functional Data Analysis Methods
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Author(s):
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Kathryn Prewitt*+
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Companies:
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Arizona State University
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Keywords:
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nonparametric ;
functional data ;
partial least squares ;
support vector machine ;
principle component
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Abstract:
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We compare several nonparametric methods for prediction when the covariate of interest is a function, these methods are utilized in functional data analysis. In particular, the data we are considering is extremely smooth, such as near infrared spectroscopy data, where the covariance matrix elements all exceed .96.
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Authors who are presenting talks have a * after their name.
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