The Likelihood of the Parameters of a Continuous Time Vector Autoregressive Model
J. McCrorie ()
Statistical Inference for Stochastic Processes, 2002, vol. 5, issue 3, 273-286
Keywords: continuous time stochastic process; vector autoregressive model; likelihood function; time series analysis; application to economics (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1023/A:1021283821215 (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:5:y:2002:i:3:p:273-286
Ordering information: This journal article can be ordered from
http://www.springer. ... ty/journal/11203/PS2
DOI: 10.1023/A:1021283821215
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 ().