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Activity Number: 521 - Statistical Methods for Functional Data
Type: Contributed
Date/Time: Thursday, August 11, 2022 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract #322589
Title: Robust Interval Testing Procedure for Functional Data Analysis
Author(s): Mengkun Chen* and Inyoung Kim
Companies: Virginia Tech and Virginia Tech
Keywords: Biosensing; Functional data analysis; Interval estimation; Robust
Abstract:

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.


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

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