Least squares estimation for the linear self-repelling diffusion driven by α-stable motions
Leyi Shen,
Xiaoyu Xia and
Litan Yan
Statistics & Probability Letters, 2022, vol. 181, issue C
Abstract:
In this paper, we consider parameter estimations of the linear self-repelling diffusion Xtα=Mtα−θ∫0t∫0s(Xsα−Xrα)drds+νt, where θ<0, ν∈R and Mα is a symmetrical α-stable motion on R (1<α<2). The process is an analogue of the self-repelling diffusion (see Durrett and Rogers (1992) and Cranston and Le Jan (1995)). By using least squares method, we study estimators of θ and ν and give their asymptotic distributions under the discrete observation.
Keywords: α-stable motion; Self-interacting diffusion; Least squares estimation; Asymptotic distribution (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715221002212
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:181:y:2022:i:c:s0167715221002212
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2021.109259
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().