The spatial sign covariance operator: Asymptotic results and applications-Reference-Cited by-同舟云学术

The spatial sign covariance operator: Asymptotic results and applications

Published:2019-03 Issue: Volume:170 Page:115-128
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Boente Graciela,Rodriguez Daniela,Sued Mariela

Funder

CONICET

ANPCYT

Universidad de Buenos Aires at Argentina

Ministerio de Ciencia e Innovación at Spain

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference32 articles.

1. Principal points and elliptical distributions from the multivariate setting to the functional case;Bali;Statist. Probab. Lett.,2009

2. Robust functional principal components: A projection-pursuit approach;Bali;Ann. Statist.,2011

3. Common functional principal components;Benko;Ann. Statist.,2009

4. Testing equality of several covariance operators;Boente;Ann. Inst. Statist. Math.,2018

5. G. Boente, D. Rodriguez, M. Sued, The spatial sign covariance operator: Asymptotic results and applications, 2018. Available at http://arxiv.org/abs/1804.04210.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalized spherical principal component analysis;Statistics and Computing;2024-03-23

2. Robust estimation for functional quadratic regression models;Computational Statistics & Data Analysis;2023-11

3. Functional spherical autocorrelation: A robust estimate of the autocorrelation of a functional time series;Electronic Journal of Statistics;2023-01-01

4. Optimal function-on-scalar regression over complex domains;Electronic Journal of Statistics;2023-01-01

5. On weighted multivariate sign functions;Journal of Multivariate Analysis;2022-09