Prediction of Fractional Brownian Motion-Type Processes

Inoue, Akihiko & (2007) Prediction of Fractional Brownian Motion-Type Processes. Stochastic Analysis and Applications, 25(3), pp. 641-666.

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We introduce a class of continuous-time Gaussian processes with stationary increments via moving-average representation with good MA coefficient. The class includes fractional Brownian motion with Hurst index less than 1/2 as a typical example. It also includes processes which have different indices corresponding to the local and long-time properties, repsectively. We derive some basic properties of the processes, and, using the results, we establish a prediction formula for them. The prediction kernel in the formula is given explicitly in terms of MA and AR coefficients.

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4 citations in Scopus
4 citations in Web of Science®
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ID Code: 15029
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Anh, Voorcid.org/0000-0003-2463-2099
Measurements or Duration: 26 pages
Keywords: Fractional Brownian Motion, Hurst Index, Prediction
DOI: 10.1080/07362990701282971
ISSN: 0736-2994
Pure ID: 33740647
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
?? 1907 ??
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Research Centres > Australian Research Centre for Aerospace Automation
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 06 Oct 2008 00:00
Last Modified: 03 Mar 2024 15:21