We consider sequences of random variables with the index subordinated by a doubly stochastic Poisson process. A Poisson stochastic index process, or PSI-process for short, is a random process ψ(t) with the continuous time t which one can obtain via subordination of a sequence of random variables (ξj ), j = 0, 1, . . ., by a doubly stochastic Poisson process Π1(tλ) as follows: ψ(t) = ξΠ1(tλ) , t > 0. We suppose that the intensity λ is a nonnegative random variable independent of the standard Poisson process Π1. In the present paper we consider the case of independent identically distributed random variables (ξj ) with a finite variance. R. Wolpert and M. Taqqu (2005) introduce and investigate a type of the fractional Ornstein — Uhlenb...
International audienceGiven an observation of the uniform empirical process alpha(n) its functional ...
We consider the local empirical process indexed by sets, a greatly generalized version of the well-s...
Let M be a Poisson random measure on [0, [infinity]) and let {X(t): t[epsilon][0,[infinity])} be an ...
We define PSI-process — Poisson Stochastic Index process, as a continuous time random process which...
We consider a sequence of i.i.d. random variables, (ξ)=(ξi)i=0,1,2,⋯, Eξ0=0, Eξ02=1, and subordinate...
The definition of pseudo-poissonian processes is given in the famous monograph of William Feller, vo...
Consider compound Poisson processes with negative drift and no negative jumps, which converge to som...
International audienceConsider compound Poisson processes with negative drift and no negative jumps,...
In this paper we study some convergence results concerning the one-dimensional distribution of a tim...
International audienceIn this paper, we study the Hölder regularity of set-indexed stochastic proces...
Abstract Consider compound Poisson processes with negative drift and no negative jumps, which conver...
AbstractLet (Xn)n⩾1 be a sequence of real random variables. The local score is Hn=max1⩽i<j⩽n(Xi+⋯+Xj...
We present three different fractional versions of the Poisson process and some related results conce...
We develop a white noise theory for Poisson random measures associated with a Lévy process. The star...
We investigate a family of approximating processes that can capture the asymptotic behaviour of loca...
International audienceGiven an observation of the uniform empirical process alpha(n) its functional ...
We consider the local empirical process indexed by sets, a greatly generalized version of the well-s...
Let M be a Poisson random measure on [0, [infinity]) and let {X(t): t[epsilon][0,[infinity])} be an ...
We define PSI-process — Poisson Stochastic Index process, as a continuous time random process which...
We consider a sequence of i.i.d. random variables, (ξ)=(ξi)i=0,1,2,⋯, Eξ0=0, Eξ02=1, and subordinate...
The definition of pseudo-poissonian processes is given in the famous monograph of William Feller, vo...
Consider compound Poisson processes with negative drift and no negative jumps, which converge to som...
International audienceConsider compound Poisson processes with negative drift and no negative jumps,...
In this paper we study some convergence results concerning the one-dimensional distribution of a tim...
International audienceIn this paper, we study the Hölder regularity of set-indexed stochastic proces...
Abstract Consider compound Poisson processes with negative drift and no negative jumps, which conver...
AbstractLet (Xn)n⩾1 be a sequence of real random variables. The local score is Hn=max1⩽i<j⩽n(Xi+⋯+Xj...
We present three different fractional versions of the Poisson process and some related results conce...
We develop a white noise theory for Poisson random measures associated with a Lévy process. The star...
We investigate a family of approximating processes that can capture the asymptotic behaviour of loca...
International audienceGiven an observation of the uniform empirical process alpha(n) its functional ...
We consider the local empirical process indexed by sets, a greatly generalized version of the well-s...
Let M be a Poisson random measure on [0, [infinity]) and let {X(t): t[epsilon][0,[infinity])} be an ...