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Continuous-Time Stochastic Processes with Cyclical Long-Range Dependance

Anh, Vo V., Knopova, Viktoriya P., & Leonenko, Nikolai N. (2004) Continuous-Time Stochastic Processes with Cyclical Long-Range Dependance. Australian and New Zealand Journal of Statistics, 46(2), pp. 275-296.

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Abstract

We introduce continuous-time random processes whose spectral density is unbounded at some non-zero frequencies. The discretized versions of these processes have asymptotic properties similar to those of discrete-time Gegenbauer processes. We present some properties of the covariance function and spectral density as well as a theory of statistical estimation of the mean and covariance function of such processes. Some direction for further generalizations of the results are indicated.

Impact and interest:

14 citations in Scopus
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14 citations in Web of Science®

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Full-text downloads:

212 since deposited on 14 Sep 2004
49 in the past twelve months

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ID Code: 429
Item Type: Journal Article
Keywords: continuous, time processes, simgular spectrum, long, range dependance, Gegenbauer process
DOI: 10.1111/j.1467-842X.2004.00329.x
ISSN: 1369-1473
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Stochastic Analysis and Modelling (010406)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2004 Blackwell Publishing
Copyright Statement: The definitive version is available at www.blackwell-synergy.com
Deposited On: 14 Sep 2004
Last Modified: 29 Feb 2012 23:03

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