AbstractSelf-similar processes are useful models for natural systems that exhibit scaling. Operator scaling allows a different scale factor in each coordinate. This paper develops practical methods for modeling and simulation. A simulation method is developed for operator scaling Lévy processes, based on a series representation, along with a Gaussian approximation of the small jumps. Several examples are given to illustrate the range of practical applications. A complete characterization of symmetries in two dimensions is given, for any exponent and spectral measure, to inform the choice of these model parameters. The paper concludes with some extensions to general operator self-similar processes
We introduce a scattering covariance matrix which provides non-Gaussian models of time-series having...
The present text sets itself in relief to other titles on the subject in that it addresses the means...
While several numerical techniques are available for predicting the dynamics of non-Markovian open q...
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...
AbstractA stochastic process on a finite-dimensional real vector space is operator-self-similar if a...
Abstract. We consider simulation of Subϕ(Ω)-processes that are weakly self-similar with stationary i...
In the last years fractal models have become the focus of many contributions dealing with market dyn...
Operator self-similar (OSS) stochastic processes on arbitrary Banach spaces are consid-ered. If the ...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
Abstract. We consider simulation of Sub ’ð Þ-processes that are weakly selfsimilar with stationary i...
International audienceThis book is organized around the notions of scaling phenomena and scale invar...
AbstractIn this work, a general representation for an operator self-similar Gaussian vector field is...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
This dissertation presents novel models for purely discrete-time self-similar processes and scale- i...
We introduce a scattering covariance matrix which provides non-Gaussian models of time-series having...
The present text sets itself in relief to other titles on the subject in that it addresses the means...
While several numerical techniques are available for predicting the dynamics of non-Markovian open q...
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...
AbstractA stochastic process on a finite-dimensional real vector space is operator-self-similar if a...
Abstract. We consider simulation of Subϕ(Ω)-processes that are weakly self-similar with stationary i...
In the last years fractal models have become the focus of many contributions dealing with market dyn...
Operator self-similar (OSS) stochastic processes on arbitrary Banach spaces are consid-ered. If the ...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
Abstract. We consider simulation of Sub ’ð Þ-processes that are weakly selfsimilar with stationary i...
International audienceThis book is organized around the notions of scaling phenomena and scale invar...
AbstractIn this work, a general representation for an operator self-similar Gaussian vector field is...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
This dissertation presents novel models for purely discrete-time self-similar processes and scale- i...
We introduce a scattering covariance matrix which provides non-Gaussian models of time-series having...
The present text sets itself in relief to other titles on the subject in that it addresses the means...
While several numerical techniques are available for predicting the dynamics of non-Markovian open q...