EconPapers    
Economics at your fingertips  
 

On the minimum distance estimation of the density for a diffusion process

Fatna Bensaber and Wahiba Benyahia

Communications in Statistics - Theory and Methods, 2025, vol. 54, issue 22, 7371-7382

Abstract: This article focused on investigating the parameter estimation of a stochastic differential equation of type diffusion, driven by small white noise, based on continuous time observations. A non parametric estimator is involved in the construction of the minimum distance estimation. This method is applied to get an asymptotically consistent estimator and then establish its asymptotic distribution for a small dispersion coefficient.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2025.2559114 (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:taf:lstaxx:v:54:y:2025:i:22:p:7371-7382

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2025.2559114

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-11-05
Handle: RePEc:taf:lstaxx:v:54:y:2025:i:22:p:7371-7382