Operator fractional Brownian fields (OFBFs) are Gaussian, stationary-increment vector random fields that satisfy the operator self-similarity relation {X(cEt)}t∈RmL={cHX(t)}t∈Rm. 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)
We explore a generalisation of the L´evy fractional Brownian field on the Euclidean space based on ...
The Wiener's path integral plays a central role in the studies of Brownian motion. Here we derive ex...
The thesis is centered around the themes of wavelet methods for stochastic processes, and of operato...
Operator fractional Brownian motions (OFBMs) are (i) Gaussian, (ii) operator self-similar and (iii) ...
International audienceOperator scaling Gaussian random fields, as anisotropic generalizations of sel...
This work puts forward an extended definition of vector fractional Brownian motion (fBm) using a dis...
AbstractMultivariate random fields whose distributions are invariant under operator-scalings in both...
This is a brief account of the current work by Dzhaparidze, van Zanten and Zareba, delivered as a le...
27 pagesInternational audienceA scalar valued random field is called operator-scaling if it satisfie...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
Operator fractional Brownian motions (OFBMs) are zero mean, operator self-similar (o.s.s.), Gaussian...
Pre-print; version dated March 2006This paper compares models of fractional processes and associated...
Multivariate random fields whose distributions are invariant under operator-scalings in both the tim...
International audienceWe discuss the relationships between some classical representations of the fra...
Let $X$ be a fractional Brownian motion. It is known that $M_t=int m_t dX,, tge 0$, where $m_t$ is a...
We explore a generalisation of the L´evy fractional Brownian field on the Euclidean space based on ...
The Wiener's path integral plays a central role in the studies of Brownian motion. Here we derive ex...
The thesis is centered around the themes of wavelet methods for stochastic processes, and of operato...
Operator fractional Brownian motions (OFBMs) are (i) Gaussian, (ii) operator self-similar and (iii) ...
International audienceOperator scaling Gaussian random fields, as anisotropic generalizations of sel...
This work puts forward an extended definition of vector fractional Brownian motion (fBm) using a dis...
AbstractMultivariate random fields whose distributions are invariant under operator-scalings in both...
This is a brief account of the current work by Dzhaparidze, van Zanten and Zareba, delivered as a le...
27 pagesInternational audienceA scalar valued random field is called operator-scaling if it satisfie...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
Operator fractional Brownian motions (OFBMs) are zero mean, operator self-similar (o.s.s.), Gaussian...
Pre-print; version dated March 2006This paper compares models of fractional processes and associated...
Multivariate random fields whose distributions are invariant under operator-scalings in both the tim...
International audienceWe discuss the relationships between some classical representations of the fra...
Let $X$ be a fractional Brownian motion. It is known that $M_t=int m_t dX,, tge 0$, where $m_t$ is a...
We explore a generalisation of the L´evy fractional Brownian field on the Euclidean space based on ...
The Wiener's path integral plays a central role in the studies of Brownian motion. Here we derive ex...
The thesis is centered around the themes of wavelet methods for stochastic processes, and of operato...