|
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
|
|
Abstract:
|
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.
