The dependence structure of log-fractional stable noise with analogy to fractional Gaussian noise

We examine the process log-fractional stable motion (log-FSM), which is an α-stable process with α ∈ (1, 2). Its tail probabilities decay like x−α as x → ∞, and hence it has a finite mean, but its variance is infinite. As a result, its dependence structure cannot be described by using correlation...

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Autores principales: Murad S. Taqqu, Joshua B. Levy
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Publicado: Sapienza Università Editrice 2008
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spelling oai:doaj.org-article:1fb38df5ebba4ca192c858499aebebbf2021-11-29T14:29:40ZThe dependence structure of log-fractional stable noise with analogy to fractional Gaussian noise1120-71832532-3350https://doaj.org/article/1fb38df5ebba4ca192c858499aebebbf2008-01-01T00:00:00Zhttps://www1.mat.uniroma1.it/ricerca/rendiconti/ARCHIVIO/2008(1)/97-115.pdfhttps://doaj.org/toc/1120-7183https://doaj.org/toc/2532-3350We examine the process log-fractional stable motion (log-FSM), which is an α-stable process with α ∈ (1, 2). Its tail probabilities decay like x−α as x → ∞, and hence it has a finite mean, but its variance is infinite. As a result, its dependence structure cannot be described by using correlations. Its increments, log-fractional noise (log-FSN), are stationary and so the dependence between any two points in time can be determined by a function of only the distance (lag) between them. Since log-FSN is a moving average and hence “mixing,” the dependence between the two time points decreases to zero as the lag tends to infinity. Using measures such as the codifference and the covariation, which can replace the covariance when the variance is infinite, we show that the decay is so slow that log-FSN (or, conventionally, log-FSM) displays long-range dependence. This is compared to the asymptotic dependence structure of fractional Gaussian noise (FGN), a befitting circumstance since log-FSN and FGN share a number of features.Murad S. TaqquJoshua B. LevySapienza Università Editricearticleα-stable distributioncodifferencecovariationfractional brownian motionlog-fractional stable noiseself-similar processMathematicsQA1-939ENFRITRendiconti di Matematica e delle Sue Applicazioni, Vol 28, Iss 1, Pp 97-115 (2008)
institution DOAJ
collection DOAJ
language EN
FR
IT
topic α-stable distribution
codifference
covariation
fractional brownian motion
log-fractional stable noise
self-similar process
Mathematics
QA1-939
spellingShingle α-stable distribution
codifference
covariation
fractional brownian motion
log-fractional stable noise
self-similar process
Mathematics
QA1-939
Murad S. Taqqu
Joshua B. Levy
The dependence structure of log-fractional stable noise with analogy to fractional Gaussian noise
description We examine the process log-fractional stable motion (log-FSM), which is an α-stable process with α ∈ (1, 2). Its tail probabilities decay like x−α as x → ∞, and hence it has a finite mean, but its variance is infinite. As a result, its dependence structure cannot be described by using correlations. Its increments, log-fractional noise (log-FSN), are stationary and so the dependence between any two points in time can be determined by a function of only the distance (lag) between them. Since log-FSN is a moving average and hence “mixing,” the dependence between the two time points decreases to zero as the lag tends to infinity. Using measures such as the codifference and the covariation, which can replace the covariance when the variance is infinite, we show that the decay is so slow that log-FSN (or, conventionally, log-FSM) displays long-range dependence. This is compared to the asymptotic dependence structure of fractional Gaussian noise (FGN), a befitting circumstance since log-FSN and FGN share a number of features.
format article
author Murad S. Taqqu
Joshua B. Levy
author_facet Murad S. Taqqu
Joshua B. Levy
author_sort Murad S. Taqqu
title The dependence structure of log-fractional stable noise with analogy to fractional Gaussian noise
title_short The dependence structure of log-fractional stable noise with analogy to fractional Gaussian noise
title_full The dependence structure of log-fractional stable noise with analogy to fractional Gaussian noise
title_fullStr The dependence structure of log-fractional stable noise with analogy to fractional Gaussian noise
title_full_unstemmed The dependence structure of log-fractional stable noise with analogy to fractional Gaussian noise
title_sort dependence structure of log-fractional stable noise with analogy to fractional gaussian noise
publisher Sapienza Università Editrice
publishDate 2008
url https://doaj.org/article/1fb38df5ebba4ca192c858499aebebbf
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