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Autori principali: Ruiz-Medina, M. D., Crujeiras, R. M.
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2511.00518
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author Ruiz-Medina, M. D.
Crujeiras, R. M.
author_facet Ruiz-Medina, M. D.
Crujeiras, R. M.
contents A statistical hypothesis test for long range dependence (LRD) in functional time series in manifolds has been formulated in Ruiz-Medina and Crujeiras (2025) in the spectral domain for fully observed functional data. The asymptotic Gaussian distribution of the proposed test statistics, based on the weighted periodogram operator, under the null hypothesis, and the consistency of the test have been derived. In this paper, we analyze the asymptotic properties of this spectral LRD testing procedure, when functional data are contaminated, and discretely observed through random uniform spatial sampling.
format Preprint
id arxiv_https___arxiv_org_abs_2511_00518
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle An LRD spectral test for irregularly discretely observed contaminated functional time series in manifolds
Ruiz-Medina, M. D.
Crujeiras, R. M.
Statistics Theory
A statistical hypothesis test for long range dependence (LRD) in functional time series in manifolds has been formulated in Ruiz-Medina and Crujeiras (2025) in the spectral domain for fully observed functional data. The asymptotic Gaussian distribution of the proposed test statistics, based on the weighted periodogram operator, under the null hypothesis, and the consistency of the test have been derived. In this paper, we analyze the asymptotic properties of this spectral LRD testing procedure, when functional data are contaminated, and discretely observed through random uniform spatial sampling.
title An LRD spectral test for irregularly discretely observed contaminated functional time series in manifolds
topic Statistics Theory
url https://arxiv.org/abs/2511.00518