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 (FBM), a non-Markovian self-similar Gaussian stochastic process with long...
AbstractWe begin with stochastic processes obtained as sums of “up-and-down” pulses with random mome...
We consider an ensemble of Ornstein–Uhlenbeck processes featuring a population of relaxation times a...
AbstractWe construct fractional Brownian motion, sub-fractional Brownian motion and negative sub-fra...
AbstractUsing the white noise space framework, we construct and study a class of Gaussian processes ...
1 figureIn this paper we obtain Gaussian type lower bounds for the density of solutions to stochasti...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
In R^d, for any dimension d ≥ 1, expansions of self-intersection local times of fractional Brownian ...
In this paper we investigate the ruin problem for the generalized φ-sub-Gaussian fractional Brownian...
We discuss a family of random fields indexed by a parameter s ∈ R which we call the fractional Gauss...
The goal of this paper is to establish a relation between characteristic polynomials of N×N GUE rand...
14 pages, accepté dans Journal of Statistical Computation & SimulationWe propose to estimate the Hur...
We discuss a family of random fields indexed by a parameter s ∈ Rwhich we call the fractional Gaussi...
In the paper, we consider the problem of simulation of a strictly ?-sub-Gaussian generalized fractio...
We study a long-range dependence Gaussian process which we call “sub-fractional Brownian motion” (su...
Fractional Brownian motion (FBM), a non-Markovian self-similar Gaussian stochastic process with long...
AbstractWe begin with stochastic processes obtained as sums of “up-and-down” pulses with random mome...
We consider an ensemble of Ornstein–Uhlenbeck processes featuring a population of relaxation times a...
AbstractWe construct fractional Brownian motion, sub-fractional Brownian motion and negative sub-fra...
AbstractUsing the white noise space framework, we construct and study a class of Gaussian processes ...
1 figureIn this paper we obtain Gaussian type lower bounds for the density of solutions to stochasti...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
In R^d, for any dimension d ≥ 1, expansions of self-intersection local times of fractional Brownian ...
In this paper we investigate the ruin problem for the generalized φ-sub-Gaussian fractional Brownian...
We discuss a family of random fields indexed by a parameter s ∈ R which we call the fractional Gauss...
The goal of this paper is to establish a relation between characteristic polynomials of N×N GUE rand...
14 pages, accepté dans Journal of Statistical Computation & SimulationWe propose to estimate the Hur...
We discuss a family of random fields indexed by a parameter s ∈ Rwhich we call the fractional Gaussi...
In the paper, we consider the problem of simulation of a strictly ?-sub-Gaussian generalized fractio...
We study a long-range dependence Gaussian process which we call “sub-fractional Brownian motion” (su...
Fractional Brownian motion (FBM), a non-Markovian self-similar Gaussian stochastic process with long...
AbstractWe begin with stochastic processes obtained as sums of “up-and-down” pulses with random mome...
We consider an ensemble of Ornstein–Uhlenbeck processes featuring a population of relaxation times a...