International audienceWe investigate the sample paths regularity of operator scaling alpha-stable random fields. Such fields were introduced as anisotropic generalizations of self-similar fields and satisfy a scaling property for a real matrix E. In the case of harmonizable operator scaling random fields, the sample paths are locally Hölderian and their Hölder regularity is characterized by the eigen decomposition with respect to E. In particular, the directional Hölder regularity may vary and is given by the eigenvalues of E. In the case of moving average operator scaling random alpha-stable random fields, with alpha<2, the sample paths are almost surely discontinous
Special Issue: Proceedings of the "XIème Colloque Franco-Roumain de Mathématiques Appliquées"Interna...
Multivariate random fields whose distributions are invariant under operator-scalings in both the tim...
AbstractIn this work, a general representation for an operator self-similar Gaussian vector field is...
International audienceWe investigate the sample paths regularity of operator scaling alpha-stable ra...
AbstractWe investigate the sample path regularity of operator scaling α-stable random fields. Such f...
International audienceIn this paper, we define and study a new class of random fields called harmoni...
27 pagesInternational audienceA scalar valued random field is called operator-scaling if it satisfie...
AbstractA scalar valued random field {X(x)}x∈Rd is called operator-scaling if for some d×d matrix E ...
A scalar valued random field {X (x)}x∈Rd is called operator-scaling if for some d × d matrix E with ...
We propose an explicit way to generate a class of Operator scaling stable random Gaussian fields (OS...
AbstractMultivariate random fields whose distributions are invariant under operator-scalings in both...
International audienceOperator scaling Gaussian random fields, as anisotropic generalizations of sel...
We study the sample paths properties of Operator scaling Gaussian random fields. Such fields are ani...
International audienceIn this paper we study modulus of continuity and rate of convergence of series...
International audienceWe propose an explicit way to generate a large class of Operator scaling Gauss...
Special Issue: Proceedings of the "XIème Colloque Franco-Roumain de Mathématiques Appliquées"Interna...
Multivariate random fields whose distributions are invariant under operator-scalings in both the tim...
AbstractIn this work, a general representation for an operator self-similar Gaussian vector field is...
International audienceWe investigate the sample paths regularity of operator scaling alpha-stable ra...
AbstractWe investigate the sample path regularity of operator scaling α-stable random fields. Such f...
International audienceIn this paper, we define and study a new class of random fields called harmoni...
27 pagesInternational audienceA scalar valued random field is called operator-scaling if it satisfie...
AbstractA scalar valued random field {X(x)}x∈Rd is called operator-scaling if for some d×d matrix E ...
A scalar valued random field {X (x)}x∈Rd is called operator-scaling if for some d × d matrix E with ...
We propose an explicit way to generate a class of Operator scaling stable random Gaussian fields (OS...
AbstractMultivariate random fields whose distributions are invariant under operator-scalings in both...
International audienceOperator scaling Gaussian random fields, as anisotropic generalizations of sel...
We study the sample paths properties of Operator scaling Gaussian random fields. Such fields are ani...
International audienceIn this paper we study modulus of continuity and rate of convergence of series...
International audienceWe propose an explicit way to generate a large class of Operator scaling Gauss...
Special Issue: Proceedings of the "XIème Colloque Franco-Roumain de Mathématiques Appliquées"Interna...
Multivariate random fields whose distributions are invariant under operator-scalings in both the tim...
AbstractIn this work, a general representation for an operator self-similar Gaussian vector field is...