Activity Number:
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521
- Statistical Methods for Functional Data
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Type:
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Contributed
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Date/Time:
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Thursday, August 11, 2022 : 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 #322589
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Title:
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Robust Interval Testing Procedure for Functional Data Analysis
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Author(s):
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Mengkun Chen* and Inyoung Kim
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Companies:
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Virginia Tech and Virginia Tech
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Keywords:
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Biosensing;
Functional data analysis;
Interval estimation;
Robust
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Abstract:
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In this talk, we propose a robust interval testing procedure for functional data analysis with massive noisy functions. Our procedure can be used to test of equality of quantile function of a functional population and also distributional equality of two or more functional populations. No such robust interval testing procedure has been developed so far. We demonstrate the advantage of our approach using simulation study and biosensing data obtained from surface-enhanced Raman spectroscopy to study the interaction between brain tumor and drug dosage.
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Authors who are presenting talks have a * after their name.