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Linear Fractional Stable Motion with the rlfsm R Package
Örebro University, Örebro University School of Business.ORCID iD: 0000-0002-1395-9427
Department of Mathematics, Aarhus University, Aarhus, Denmark.ORCID iD: 0000-0002-4700-7221
2020 (English)In: The R Journal, E-ISSN 2073-4859, Vol. 12, no 1, p. 32p. 386-405Article in journal (Refereed) Published
Abstract [en]

Linear fractional stable motion is a type of a stochastic integral driven by symmetric alpha-stable Levy motion. The integral could be considered as a non-Gaussian analogue of the fractional Brownian motion. The present paper discusses R package rlfsm created for numerical procedures with the linear fractional stable motion. It is a set of tools for simulation of these processes as well as performing statistical inference and simulation studies on them. We introduce: tools that we developed to work with that type of motions as well as methods and ideas underlying them. Also we perform numerical experiments to show finite-sample behavior of certain estimators of the integral, and give an idea of how to envelope workflow related to the linear fractional stable motion in S4 classes and methods. Supplementary materials, including codes for numerical experiments, are available online. rlfsm could be found on CRAN and gitlab.

Place, publisher, year, edition, pages
Technische Universitaet Wien , 2020. Vol. 12, no 1, p. 32p. 386-405
Keywords [en]
Fractional processes, limit theorems, parametric estimation, stochastic simulation, stable motion
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-77935DOI: 10.32614/RJ-2020-008ISI: 000579493900024Scopus ID: 2-s2.0-85103743101OAI: oai:DiVA.org:oru-77935DiVA, id: diva2:1370780
Note

Funding Agencies:

Project "Ambit fields: probabilistic properties and statistical inference" - Villum Fonden  

Örebro University  

Project "Models for macro and financial economics after the financial crisis" - Jan Wallander and Tom Hedelius Foundation  P18-0201

Available from: 2019-11-18 Created: 2019-11-18 Last updated: 2023-12-29Bibliographically approved

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Mazur, Stepan

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  • apa
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