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arxiv: 1007.0828 · v2 · pith:7KZVCE5Xnew · submitted 2010-07-06 · 🧮 math.PR · math.ST· stat.TH

Basic properties of the Multivariate Fractional Brownian Motion

classification 🧮 math.PR math.STstat.TH
keywords mfbmbrownianfractionalmotionmultivariatesomealgorithmalmost
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This paper reviews and extends some recent results on the multivariate fractional Brownian motion (mfBm) and its increment process. A characterization of the mfBm through its covariance function is obtained. Similarly, the correlation and spectral analyses of the increments are investigated. On the other hand we show that (almost) all mfBm's may be reached as the limit of partial sums of (super)linear processes. Finally, an algorithm to perfectly simulate the mfBm is presented and illustrated by some simulations.

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    A novel matrix-valued Hurst operator construction for 2D fBm with cross-dependencies is introduced, with derived auto/cross-covariances and power spectral densities validated by simulations.