Operator self-similar (OSS) stochastic processes on arbitrary Banach spaces are consid-ered. If the family of expectations of such a process is a spanning subset of the space, it is proved that the scaling family of operators of the process under consideration is a uniquely determinedmultiplicative group of operators. If the expectation-function of the process is continuous, it is proved that the expectations of the process have power-growth with exponent greater than or equal to 0, that is, their norm is less than a nonnegative constant times such a power-function, provided that the linear space spanned by the ex-pectations has category 2 (in the sense of Baire) in its closure. It is shown that OSS pro-cesses whose expectation-function is ...
Introduction A stochastic process Y (t) is defined as self-similar with self-similarity parameter H...
Barbu V, Röckner M. An operatorial approach to stochastic partial differential equations driven by l...
It is shown that operator-selfdecomposable measures or, more precisely, their Urbanik decomposabilit...
Operator self-similar (OSS) stochastic processes on arbitrary Banach spaces are considered. If the f...
AbstractA stochastic process on a finite-dimensional real vector space is operator-self-similar if a...
AbstractOperator self similar stochastic processes taking values in a finite dimensional Euclidean s...
AbstractIn this work, a general representation for an operator self-similar Gaussian vector field is...
AbstractJeanblanc et al. (Stochastic Process. Appl. 100 (2002) 223) give a representation of self-si...
In this paper we study the periodic stochastic abstract Cauchy problem dX(t) = AX(t) dt+B dWH(t); t...
This article focuses on a recent concept of covariation for processes taking values in a separable B...
These notes have been prepared to accompany a series of lectures given at the Uni-versity of Manches...
AbstractMultivariate random fields whose distributions are invariant under operator-scalings in both...
Let M be a random measure and L be an elliptic pseudo-differential operator on Rd. We study the solu...
Self-similar processes are useful models for natural systems that exhibit scaling. Operator scaling ...
Abstract. Self-similar processes are useful models for natural systems that exhibit scaling. Operato...
Introduction A stochastic process Y (t) is defined as self-similar with self-similarity parameter H...
Barbu V, Röckner M. An operatorial approach to stochastic partial differential equations driven by l...
It is shown that operator-selfdecomposable measures or, more precisely, their Urbanik decomposabilit...
Operator self-similar (OSS) stochastic processes on arbitrary Banach spaces are considered. If the f...
AbstractA stochastic process on a finite-dimensional real vector space is operator-self-similar if a...
AbstractOperator self similar stochastic processes taking values in a finite dimensional Euclidean s...
AbstractIn this work, a general representation for an operator self-similar Gaussian vector field is...
AbstractJeanblanc et al. (Stochastic Process. Appl. 100 (2002) 223) give a representation of self-si...
In this paper we study the periodic stochastic abstract Cauchy problem dX(t) = AX(t) dt+B dWH(t); t...
This article focuses on a recent concept of covariation for processes taking values in a separable B...
These notes have been prepared to accompany a series of lectures given at the Uni-versity of Manches...
AbstractMultivariate random fields whose distributions are invariant under operator-scalings in both...
Let M be a random measure and L be an elliptic pseudo-differential operator on Rd. We study the solu...
Self-similar processes are useful models for natural systems that exhibit scaling. Operator scaling ...
Abstract. Self-similar processes are useful models for natural systems that exhibit scaling. Operato...
Introduction A stochastic process Y (t) is defined as self-similar with self-similarity parameter H...
Barbu V, Röckner M. An operatorial approach to stochastic partial differential equations driven by l...
It is shown that operator-selfdecomposable measures or, more precisely, their Urbanik decomposabilit...