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Activity Number: 133 - Statistical Methods for Functional Data
Type: Contributed
Date/Time: Monday, July 29, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract #304985
Title: Covariance Function Estimation for Multidimensional Functional Data
Author(s): Raymond Wong* and Jiayi Wang and Xiaoke Zhang
Companies: Texas A&M University and Texas A&M University and George Washington University
Keywords: Functional data analysis; Low-rank estimation; Reproducing kernel Hilbert space; Spectral regularization

Multidimensional functional data are becoming more common in various domains such as climate studies, neuroimaging and chemometrics. In this talk I will present a low-rank nonparametric covariance function estimator for multidimensional functional data. It is based on an efficient spectral regularization of an operator associated with a possibly infinite-dimensional reproducing kernel Hilbert space. I will discuss the corresponding numerical and theoretical results.

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

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