On a new family of weighted Gaussian processes: an application to bat telemetry data

Fuente: arXiv
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Main Authors: Gonzalez, Jose Hermenegildo Ramirez, Salas, Antonio Murillo, Sun, Ying
Format: Preprint
Published: 2024
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author Gonzalez, Jose Hermenegildo Ramirez
Salas, Antonio Murillo
Sun, Ying
author_facet Gonzalez, Jose Hermenegildo Ramirez
Salas, Antonio Murillo
Sun, Ying
contents In this article we use a covariance function that arises from limit of fluctuations of the rescaled occupation time process of a branching particle system, to introduce a family of weighted long-range dependence Gaussian processes. In particular, we consider two subfamilies for which we show that the process is not a semimartingale, that the processes exhibit long-range dependence and have long-range memory of logarithmic order. Finally, we illustrate that this family of processes is useful for modeling real world data.
format Preprint
id arxiv_https___arxiv_org_abs_2405_19903
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On a new family of weighted Gaussian processes: an application to bat telemetry data
Gonzalez, Jose Hermenegildo Ramirez
Salas, Antonio Murillo
Sun, Ying
Probability
Statistics Theory
60G15, 62M09
In this article we use a covariance function that arises from limit of fluctuations of the rescaled occupation time process of a branching particle system, to introduce a family of weighted long-range dependence Gaussian processes. In particular, we consider two subfamilies for which we show that the process is not a semimartingale, that the processes exhibit long-range dependence and have long-range memory of logarithmic order. Finally, we illustrate that this family of processes is useful for modeling real world data.
title On a new family of weighted Gaussian processes: an application to bat telemetry data
topic Probability
Statistics Theory
60G15, 62M09
url https://arxiv.org/abs/2405.19903