The Library
Tests for separability in nonparametric covariance operators of random surfaces
Tools
Tools
Tools
Aston, John A. D., Pigoli, Davide and Tavakoli, Shahin (2017) Tests for separability in nonparametric covariance operators of random surfaces. The Annals of Statistics, 45 (4). pp. 1431-1461. doi:10.1214/16-AOS1495 ISSN 0090-5364.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1214/16-AOS1495
Abstract
The assumption of separability of the covariance operator for a random image or hypersurface can be of substantial use in applications, especially in situations where the accurate estimation of the full covariance structure is unfeasible, either for computational reasons, or due to a small sample size. However, inferential tools to verify this assumption are somewhat lacking in high-dimensional or functional data analysis settings, where this assumption is most relevant. We propose here to test separability by focusing on K-dimensional projections of the difference between the covariance operator and a nonparametric separable approximation. The subspace we project onto is one generated by the eigenfunctions of the covariance operator estimated under the separability hypothesis, negating the need to ever estimate the full nonseparable covariance. We show that the rescaled difference of the sample covariance operator with its separable approximation is asymptotically Gaussian. As a by-product of this result, we derive asymptotically pivotal tests under Gaussian assumptions, and propose bootstrap methods for approximating the distribution of the test statistics. We probe the finite sample performance through simulations studies, and present an application to log-spectrogram images from a phonetic linguistics dataset.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||
| Journal or Publication Title: | The Annals of Statistics | ||||||
| Publisher: | Institute of Mathematical Statistics | ||||||
| ISSN: | 0090-5364 | ||||||
| Official Date: | 28 June 2017 | ||||||
| Dates: |
|
||||||
| Volume: | 45 | ||||||
| Number: | 4 | ||||||
| Page Range: | pp. 1431-1461 | ||||||
| DOI: | 10.1214/16-AOS1495 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
