Estimation of Additive Error in Mixed Spectra for Stable Processes

Consider a symmetric α stable process having a spectral representation with an additive constant error. An estimator of that error and its rate of convergence are given. We study the rate of convergence when the spectral density have some behaviors at origin. Few long memory processes are taken here...

Full description

Bibliographic Details
Main Author: Rachid Sabre
Format: Article
Language:English
Published: University of Bologna 2017-10-01
Series:Statistica
Subjects:
Online Access:https://rivista-statistica.unibo.it/article/view/7300
id doaj-5bf3dbfa31fd4b72a4c8681e450c9168
record_format Article
spelling doaj-5bf3dbfa31fd4b72a4c8681e450c91682020-11-24T22:40:02ZengUniversity of BolognaStatistica0390-590X1973-22012017-10-01772759010.6092/issn.1973-2201/73006541Estimation of Additive Error in Mixed Spectra for Stable ProcessesRachid Sabre0Université de Bourgogne, DijonConsider a symmetric α stable process having a spectral representation with an additive constant error. An estimator of that error and its rate of convergence are given. We study the rate of convergence when the spectral density have some behaviors at origin. Few long memory processes are taken here as example.https://rivista-statistica.unibo.it/article/view/7300Spectral densityJackson kernelStable processes
collection DOAJ
language English
format Article
sources DOAJ
author Rachid Sabre
spellingShingle Rachid Sabre
Estimation of Additive Error in Mixed Spectra for Stable Processes
Statistica
Spectral density
Jackson kernel
Stable processes
author_facet Rachid Sabre
author_sort Rachid Sabre
title Estimation of Additive Error in Mixed Spectra for Stable Processes
title_short Estimation of Additive Error in Mixed Spectra for Stable Processes
title_full Estimation of Additive Error in Mixed Spectra for Stable Processes
title_fullStr Estimation of Additive Error in Mixed Spectra for Stable Processes
title_full_unstemmed Estimation of Additive Error in Mixed Spectra for Stable Processes
title_sort estimation of additive error in mixed spectra for stable processes
publisher University of Bologna
series Statistica
issn 0390-590X
1973-2201
publishDate 2017-10-01
description Consider a symmetric α stable process having a spectral representation with an additive constant error. An estimator of that error and its rate of convergence are given. We study the rate of convergence when the spectral density have some behaviors at origin. Few long memory processes are taken here as example.
topic Spectral density
Jackson kernel
Stable processes
url https://rivista-statistica.unibo.it/article/view/7300
work_keys_str_mv AT rachidsabre estimationofadditiveerrorinmixedspectraforstableprocesses
_version_ 1725706247210008576