We prove that when a sequence of Lévy processes $X^{(n)}$ or a normed sequence of random walks $S^{(n)}$ converges a.s. on the Skorokhod space toward a Lévy process $X$, the sequence $L^{(n)}$ of local times at the supremum of $X^{(n)}$ converges uniformly on compact sets in probability toward the local time at the supremum of $X$. A consequence of this result is that the sequence of (quadrivariate) ladder processes (both ascending and descending) converges jointly in law towards the ladder processes of $X$. As an application, we show that in general, the sequence $S^{(n)}$ conditioned to stay positive converges weakly, jointly with its local time at the future minimum, towards the corresponding functional for the limiting process $X$. From...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
We consider a random walk Y moving on a Lévy random medium, namely a one-dimensional renewal point p...
International audienceRandom walks in random scenery are processes defined by $Z_n:=\sum_{k=1}^n\xi_...
We prove that when a sequence of Lévy processes X(n) or a normed sequence of random walks S(n) conve...
Let $\{S_n\}$ be a random walk in the domain of attraction of a stable law $\cY$, i.e. there exists ...
20 pages. New version of the paper, in a more general setting. To appear on: Probability Theory and ...
AbstractFor a suitable definition of the local time of a random walk strong invariance principles ar...
AbstractSuppose Sn is a mean zero, variance one random walk. Under suitable assumptions on the incre...
We prove an invariance principle for the bridge of a random walk conditioned to stay positive, when ...
For a positive self-similar Markov process, $X$, we construct a local time for the random set, $\The...
We establish two results about local times of spectrally positive stable processes. The first is a g...
We deal with random processes obtained from a homogeneous random process with independent increments...
In this paper, some identities in laws involving ladder processes for random walks and Lévy process...
International audienceConsider a 1-D diffusion in a stable Lévy environment. In this article, we pro...
27 pagesConsider a sequence (Z_n,Z_n^M) of bivariate Lévy processes, such that Z_n is a spectrally p...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
We consider a random walk Y moving on a Lévy random medium, namely a one-dimensional renewal point p...
International audienceRandom walks in random scenery are processes defined by $Z_n:=\sum_{k=1}^n\xi_...
We prove that when a sequence of Lévy processes X(n) or a normed sequence of random walks S(n) conve...
Let $\{S_n\}$ be a random walk in the domain of attraction of a stable law $\cY$, i.e. there exists ...
20 pages. New version of the paper, in a more general setting. To appear on: Probability Theory and ...
AbstractFor a suitable definition of the local time of a random walk strong invariance principles ar...
AbstractSuppose Sn is a mean zero, variance one random walk. Under suitable assumptions on the incre...
We prove an invariance principle for the bridge of a random walk conditioned to stay positive, when ...
For a positive self-similar Markov process, $X$, we construct a local time for the random set, $\The...
We establish two results about local times of spectrally positive stable processes. The first is a g...
We deal with random processes obtained from a homogeneous random process with independent increments...
In this paper, some identities in laws involving ladder processes for random walks and Lévy process...
International audienceConsider a 1-D diffusion in a stable Lévy environment. In this article, we pro...
27 pagesConsider a sequence (Z_n,Z_n^M) of bivariate Lévy processes, such that Z_n is a spectrally p...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
We consider a random walk Y moving on a Lévy random medium, namely a one-dimensional renewal point p...
International audienceRandom walks in random scenery are processes defined by $Z_n:=\sum_{k=1}^n\xi_...