International audienceIn this paper we study the dsitributional tail behavior of the solution to a linear sde driven by infinite variance $\alpha$-stable Lévy motion. We show that the solution is regularly varying with index $\alpha$. An important step in the proof is the study of a Poisson number of products of independent random variables with regular tail. The study of these products deserves its own interest because it involves interesting saddle-point approximation techniques
ABSTRACT We characterize joint tails and tail dependence for a class of stochastic volatility proces...
AbstractThe paper obtains a functional limit theorem for the empirical process of a stationary movin...
This paper considers the so-called M/G/∞ model: jobs arrive according to a Poisson process with rate...
AbstractIn this paper we study the distributional tail behavior of the solution to a linear stochast...
International audienceThe behaviour of the tails of the invariant distribution for stochastic differ...
We consider the tail behavior of the product of two independent nonnegative random variables X and Y...
In this monograph the authors give a systematic approach to the probabilistic properties of the fixe...
In this paper, we introduce a new time series model having a stochastic exponential tail. This model...
We describe the exact tail behavior of the solutions to certain nonlinear stochastic differential eq...
Abstract: It is shown that the tail behavior of the function of nonnegative random variables can be ...
grantor: University of TorontoInfinite variance random variables are used to model process...
We construct a general stochastic process and prove weak convergence results. It is scaled in space ...
AbstractWe investigate the tail behavior of the distributions of subadditive functionals of the samp...
AbstractWe describe the exact tail behavior of the solutions to certain nonlinear stochastic differe...
International audienceThis work is concerned with the stability properties of linear stochastic diff...
ABSTRACT We characterize joint tails and tail dependence for a class of stochastic volatility proces...
AbstractThe paper obtains a functional limit theorem for the empirical process of a stationary movin...
This paper considers the so-called M/G/∞ model: jobs arrive according to a Poisson process with rate...
AbstractIn this paper we study the distributional tail behavior of the solution to a linear stochast...
International audienceThe behaviour of the tails of the invariant distribution for stochastic differ...
We consider the tail behavior of the product of two independent nonnegative random variables X and Y...
In this monograph the authors give a systematic approach to the probabilistic properties of the fixe...
In this paper, we introduce a new time series model having a stochastic exponential tail. This model...
We describe the exact tail behavior of the solutions to certain nonlinear stochastic differential eq...
Abstract: It is shown that the tail behavior of the function of nonnegative random variables can be ...
grantor: University of TorontoInfinite variance random variables are used to model process...
We construct a general stochastic process and prove weak convergence results. It is scaled in space ...
AbstractWe investigate the tail behavior of the distributions of subadditive functionals of the samp...
AbstractWe describe the exact tail behavior of the solutions to certain nonlinear stochastic differe...
International audienceThis work is concerned with the stability properties of linear stochastic diff...
ABSTRACT We characterize joint tails and tail dependence for a class of stochastic volatility proces...
AbstractThe paper obtains a functional limit theorem for the empirical process of a stationary movin...
This paper considers the so-called M/G/∞ model: jobs arrive according to a Poisson process with rate...