AbstractWe begin with stochastic processes obtained as sums of “up-and-down” pulses with random moments of birth τ and random lifetime w determined by a Poisson random measure. When the pulse amplitude ε → 0, while the pulse density δ increases to infinity, one obtains a process of “fractal sum of micropulses.” A CLT style argument shows convergence in the sense of finite dimensional distributions to a Gaussian process with negatively correlated increments. In the most interesting case the limit is fractional Brownian motion (FBM), a self-affine process with the scaling constant 0 < H < 12. The construction is extended to the multidimensional FBM field as well as to micropulses of more complicated shape
We propose a generalization of the widely used fractional Brownian motion (FBM), memory-multi-FBM (M...
Pre-print; version dated March 2006This paper compares models of fractional processes and associated...
The work presented in this thesis concerns the study of the fractal geometry of stochastic processes...
AbstractWe begin with stochastic processes obtained as sums of “up-and-down” pulses with random mome...
AbstractWe showed in an earlier paper (1995a) that negatively correlated fractional Brownian motion ...
A class of α-stable, 0\textlessα\textless2, processes is obtained as a sum of ’up-and-down’ pulses d...
Fractional Brownian motion (FBM) is a Gaussian stochastic process with stationary, long-time correla...
AbstractThe multifractional Brownian motion (MBM) processes are locally self-similar Gaussian proces...
Stochastic processes exhibiting power-law slopes in the frequency domain are frequently well modeled...
http://smf4.emath.fr/Publications/SeminairesCongres/2013/28/html/smf_sem-cong_28_65-87.phpInternatio...
International audienceIn this paper we consider the antiderivative of the product of a fractional ra...
Brownian motion, fractional Brownian motion (fBm) and Levy motion are stochastic processes with stat...
We study shot noise processes with Poisson arrivals and non-stationary noises. The noises are condit...
International audienceStatistically self-similar measures on [0, 1] are limit of multiplicative casc...
A new class of random multiplicative and statistically self-similar measures is defned on IR. It is ...
We propose a generalization of the widely used fractional Brownian motion (FBM), memory-multi-FBM (M...
Pre-print; version dated March 2006This paper compares models of fractional processes and associated...
The work presented in this thesis concerns the study of the fractal geometry of stochastic processes...
AbstractWe begin with stochastic processes obtained as sums of “up-and-down” pulses with random mome...
AbstractWe showed in an earlier paper (1995a) that negatively correlated fractional Brownian motion ...
A class of α-stable, 0\textlessα\textless2, processes is obtained as a sum of ’up-and-down’ pulses d...
Fractional Brownian motion (FBM) is a Gaussian stochastic process with stationary, long-time correla...
AbstractThe multifractional Brownian motion (MBM) processes are locally self-similar Gaussian proces...
Stochastic processes exhibiting power-law slopes in the frequency domain are frequently well modeled...
http://smf4.emath.fr/Publications/SeminairesCongres/2013/28/html/smf_sem-cong_28_65-87.phpInternatio...
International audienceIn this paper we consider the antiderivative of the product of a fractional ra...
Brownian motion, fractional Brownian motion (fBm) and Levy motion are stochastic processes with stat...
We study shot noise processes with Poisson arrivals and non-stationary noises. The noises are condit...
International audienceStatistically self-similar measures on [0, 1] are limit of multiplicative casc...
A new class of random multiplicative and statistically self-similar measures is defned on IR. It is ...
We propose a generalization of the widely used fractional Brownian motion (FBM), memory-multi-FBM (M...
Pre-print; version dated March 2006This paper compares models of fractional processes and associated...
The work presented in this thesis concerns the study of the fractal geometry of stochastic processes...