Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 7-Day Trial for You or Your Team.

Learn More →

SIMULATION AND ESTIMATION OF LONG MEMORY CONTINUOUS TIME MODELS

SIMULATION AND ESTIMATION OF LONG MEMORY CONTINUOUS TIME MODELS Abstract. Some general properties of long memory continuous time processes are recalled or proved. Methods of simulation are studied. A comparison with the usual discrete time autoregressive fractionally integrated moving‐average filter is made and illustrations are provided. Then, two methods of estimation of the parameters of such a model from a discrete sample are studied, both theoretically and empirically, with Monte Carlo experiments. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Time Series Analysis Wiley

SIMULATION AND ESTIMATION OF LONG MEMORY CONTINUOUS TIME MODELS

Journal of Time Series Analysis , Volume 17 (1) – Jan 1, 1996

Loading next page...
 
/lp/wiley/simulation-and-estimation-of-long-memory-continuous-time-models-bT50z8DV1u

References (17)

Publisher
Wiley
Copyright
Copyright © 1996 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0143-9782
eISSN
1467-9892
DOI
10.1111/j.1467-9892.1996.tb00262.x
Publisher site
See Article on Publisher Site

Abstract

Abstract. Some general properties of long memory continuous time processes are recalled or proved. Methods of simulation are studied. A comparison with the usual discrete time autoregressive fractionally integrated moving‐average filter is made and illustrations are provided. Then, two methods of estimation of the parameters of such a model from a discrete sample are studied, both theoretically and empirically, with Monte Carlo experiments.

Journal

Journal of Time Series AnalysisWiley

Published: Jan 1, 1996

There are no references for this article.