AbstractWe construct fractional Brownian motion, sub-fractional Brownian motion and negative sub-fractional Brownian motion by means of limiting procedures applied to some particle systems. These processes are obtained for full ranges of Hurst parameter.We employ the so-called white noise approach. Our construction is quite general, permitting to obtain also some other Gaussian processes, as well as multidimensional random fields. In particular, we generalize and presumably simplify some results by Hambly and Jones (2007). We also obtain a new class of S′-valued density processes, containing as a particular case the density process of Martin-Löf (1976)
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
Abstract. In this work we introduce correlated random walks on Z. When picking suitably at random th...
In the paper, we consider the problem of simulation of a strictly ?-sub-Gaussian generalized fractio...
AbstractWe construct fractional Brownian motion, sub-fractional Brownian motion and negative sub-fra...
Using the white noise space framework, we construct and study a class of Gaussian processes with sta...
AbstractUsing the white noise space framework, we construct and study a class of Gaussian processes ...
We investigate the main statistical parameters of the integral over time of the fractional Brownian ...
We discuss a family of random fields indexed by a parameter s ∈ R which we call the fractional Gauss...
<p>Representation of the continuum of fractal processes, with: the two families of fractional Gaussi...
We discuss a family of random fields indexed by a parameter s ∈ Rwhich we call the fractional Gaussi...
A novel representation of functions, called generalized Taylor form, is applied to the filtering of ...
A novel representation of functions, called generalized Taylor form, is applied to the filtering of ...
We investigate the main statistical parameters of the integral over time of the fractional Brownian ...
AbstractMaruyama introduced the notation db(t)=w(t)(dt)1/2 where w(t) is a zero-mean Gaussian white ...
AbstractIn this paper, a class of Gaussian processes, having locally the same fractal properties as ...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
Abstract. In this work we introduce correlated random walks on Z. When picking suitably at random th...
In the paper, we consider the problem of simulation of a strictly ?-sub-Gaussian generalized fractio...
AbstractWe construct fractional Brownian motion, sub-fractional Brownian motion and negative sub-fra...
Using the white noise space framework, we construct and study a class of Gaussian processes with sta...
AbstractUsing the white noise space framework, we construct and study a class of Gaussian processes ...
We investigate the main statistical parameters of the integral over time of the fractional Brownian ...
We discuss a family of random fields indexed by a parameter s ∈ R which we call the fractional Gauss...
<p>Representation of the continuum of fractal processes, with: the two families of fractional Gaussi...
We discuss a family of random fields indexed by a parameter s ∈ Rwhich we call the fractional Gaussi...
A novel representation of functions, called generalized Taylor form, is applied to the filtering of ...
A novel representation of functions, called generalized Taylor form, is applied to the filtering of ...
We investigate the main statistical parameters of the integral over time of the fractional Brownian ...
AbstractMaruyama introduced the notation db(t)=w(t)(dt)1/2 where w(t) is a zero-mean Gaussian white ...
AbstractIn this paper, a class of Gaussian processes, having locally the same fractal properties as ...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
Abstract. In this work we introduce correlated random walks on Z. When picking suitably at random th...
In the paper, we consider the problem of simulation of a strictly ?-sub-Gaussian generalized fractio...