Local linear estimation for stochastic processes driven by $$\alpha $$ α -stable L $$\acute{\mathbf{e}}$$ e ´ vy motion
Yunyan Wang () and
Lixin Zhang ()
Statistical Inference for Stochastic Processes, 2013, vol. 16, issue 2, 171 pages
Abstract:
The $$\alpha $$ α -stable L $$\acute{\mathrm{e}}$$ e ´ vy motion together with the Poisson process and Brownian motion are the most important examples of L $$\acute{\mathrm{e}}$$ e ´ vy processes, which form the first class of stochastic processes being studied in the modern spirit. In this paper, the stochastic processes driven by $$\alpha $$ α -stable L $$\acute{\mathrm{e}}$$ e ´ vy motion are considered, local linear estimator of the drift function for these processes is discussed. Under mild conditions, we derive consistency of the local linear estimator of the drift function. The performance of the proposed estimator is assessed by simulation study. Copyright Springer Science+Business Media Dordrecht 2013
Keywords: Lévy motion; Local linear estimator; Nadaraya–Watson estimator; Stochastic differential equation (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11203-013-9080-3 (text/html)
Access to full text is restricted to subscribers.
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:spr:sistpr:v:16:y:2013:i:2:p:161-171
Ordering information: This journal article can be ordered from
http://www.springer. ... ty/journal/11203/PS2
DOI: 10.1007/s11203-013-9080-3
Access Statistics for this article
Statistical Inference for Stochastic Processes is currently edited by Denis Bosq, Yury A. Kutoyants and Marc Hallin
More articles in Statistical Inference for Stochastic Processes from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().