EconPapers    
Economics at your fingertips  
 

Quasi-likelihood analysis for the stochastic differential equation with jumps

T. Ogihara () and N. Yoshida ()

Statistical Inference for Stochastic Processes, 2011, vol. 14, issue 3, 189-229

Keywords: Diffusion process with jumps; Parametric inference; Discrete observation; Asymptotic normality; Quasi-maximum likelihood analysis; Bayes type analysis; Large deviation inequality (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (25)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11203-011-9057-z (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:14:y:2011:i:3:p:189-229

Ordering information: This journal article can be ordered from
http://www.springer. ... ty/journal/11203/PS2

DOI: 10.1007/s11203-011-9057-z

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:sistpr:v:14:y:2011:i:3:p:189-229