AbstractMaruyama introduced the notation db(t)=w(t)(dt)1/2 where w(t) is a zero-mean Gaussian white noise, in order to represent the Brownian motion b(t). Here, we examine in which way this notation can be extended to Brownian motion of fractional order a (different from 1/2) defined as the Riemann–Liouville derivative of the Gaussian white noise. The rationale is mainly based upon the Taylor’s series of fractional order, and two cases have to be considered: processes with short-range dependence, that is to say with 0⊲a≤1/2, and processes with long-range dependence, with 1/2⊲a≤1
AbstractWe construct fractional Brownian motion, sub-fractional Brownian motion and negative sub-fra...
We study the fBm by use of convolution of the standard white noise with a certain distribution. This...
In this paper a stochastic calculus is given for the fractional Brownian motions that have the Hurst...
AbstractMaruyama introduced the notation db(t)=w(t)(dt)1/2 where w(t) is a zero-mean Gaussian white ...
Fractional Brownian motion (FBM) with Hurst parameter index between 0 and 1 is a stochastic process ...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
We investigate the main statistical parameters of the integral over time of the fractional Brownian ...
We investigate the main statistical parameters of the integral over time of the fractional Brownian ...
The purpose of this paper is to give an introduction to the stochastic (Wick-It^{o}) integration an...
AbstractWe consider fractional Brownian motions BtH with arbitrary Hurst coefficients 0<H<1 and prov...
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 ...
Using the white noise space framework, we construct and study a class of Gaussian processes with sta...
Physics Letters A, vol. 372; Issue 7The definition and simulation of fractional Brownian motion are ...
The Wiener's path integral plays a central role in the studies of Brownian motion. Here we derive ex...
AbstractWe construct fractional Brownian motion, sub-fractional Brownian motion and negative sub-fra...
We study the fBm by use of convolution of the standard white noise with a certain distribution. This...
In this paper a stochastic calculus is given for the fractional Brownian motions that have the Hurst...
AbstractMaruyama introduced the notation db(t)=w(t)(dt)1/2 where w(t) is a zero-mean Gaussian white ...
Fractional Brownian motion (FBM) with Hurst parameter index between 0 and 1 is a stochastic process ...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
We investigate the main statistical parameters of the integral over time of the fractional Brownian ...
We investigate the main statistical parameters of the integral over time of the fractional Brownian ...
The purpose of this paper is to give an introduction to the stochastic (Wick-It^{o}) integration an...
AbstractWe consider fractional Brownian motions BtH with arbitrary Hurst coefficients 0<H<1 and prov...
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 ...
Using the white noise space framework, we construct and study a class of Gaussian processes with sta...
Physics Letters A, vol. 372; Issue 7The definition and simulation of fractional Brownian motion are ...
The Wiener's path integral plays a central role in the studies of Brownian motion. Here we derive ex...
AbstractWe construct fractional Brownian motion, sub-fractional Brownian motion and negative sub-fra...
We study the fBm by use of convolution of the standard white noise with a certain distribution. This...
In this paper a stochastic calculus is given for the fractional Brownian motions that have the Hurst...