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Activity Number: 188
Type: Contributed
Date/Time: Monday, August 5, 2013 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #308889
Title: Comparison of Nonparametric Functional Data Analysis Methods
Author(s): Kathryn Prewitt*+
Companies: Arizona State University
Keywords: nonparametric ; functional data ; partial least squares ; support vector machine ; principle component

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.

Authors who are presenting talks have a * after their name.

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