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arxiv: 1403.6179 · v2 · pith:TTCBF7TFnew · submitted 2014-03-24 · 🧮 math.PR · math.ST· stat.TH

On integral representations of operator fractional Brownian fields

classification 🧮 math.PR math.STstat.TH
keywords fieldsoperatorintegralstochasticbrownianfractionalharmonizableofbfs
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Operator fractional Brownian fields (OFBFs) are Gaussian, stationary-increment vector random fields that satisfy the operator self-similarity relation {X(c^{E}t)}_{t in R^m} L= {c^{H}X(t)}_{t in R^m}. We establish a general harmonizable representation (Fourier domain stochastic integral) for OFBFs. Under additional assumptions, we also show how the harmonizable representation can be reexpressed as a moving average stochastic integral, thus answering an open problem described in Bierme et al.(2007), "Operator scaling stable random fields", Stochastic Processes and their Applications 117, 312--332.

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