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Prediction of Fractional Brownian Motion-Type Processes 

Authors: A. Inoue a; V. V. Anh b
Affiliations:   a Department of Mathematics, Faculty of Science, Hokkaido University, Sapporo, Japan
b School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
DOI: 10.1080/07362990701282971
Publication Frequency: 6 issues per year
Published in: journal Stochastic Analysis and Applications, Volume 25, Issue 3 May 2007 , pages 641 - 666
Formats available: HTML (English) : PDF (English)
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Abstract

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.
Keywords: Fractional Brownian motion; Hurst index; Prediction
1991 Mathematics Subject Classification: Primary 60G25; Secondary 60G15
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