Moment equations and Hermite expansion for nonlinear stochastic differential equations with application to stock price models
Hermann Singer ()
Computational Statistics, 2006, vol. 21, issue 3, 385-397
Keywords: Stochastic differential equations; Nonlinear systems; Discrete measurements; Maximum likelihood estimation; Moment equations; Extended Kalman filter; Hermite expansion (search for similar items in EconPapers)
Date: 2006
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/s00180-006-0001-4 (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:compst:v:21:y:2006:i:3:p:385-397
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2
DOI: 10.1007/s00180-006-0001-4
Access Statistics for this article
Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik
More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().