AbstractIn this paper we study the distributional tail behavior of the solution to a linear stochastic differential equation driven by infinite variance α-stable Lévy motion. We show that the solution is regularly varying with index α. An important step in the proof is the study of a Poisson number of products of independent random variables with regularly varying tail. The study of these products merits its own interest because it involves interesting saddle-point approximation techniques
In this paper, we introduce a new time series model having a stochastic exponential tail. This model...
AbstractWe describe the exact tail behavior of the solutions to certain nonlinear stochastic differe...
Distributions of sample quantiles of measurable stochastic processes are important for the purpose o...
International audienceIn this paper we study the dsitributional tail behavior of the solution to a l...
We consider some elementary functions of the components of a regularly varying random vector such as...
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...
International audienceThe behaviour of the tails of the invariant distribution for stochastic differ...
We consider the tail behavior of random variablesRwhich are solutions of the distributional equation...
International audienceThis work is concerned with the stability properties of linear stochastic diff...
We consider the equation Rn=Qn+MnRn-1, with random non-i.i.d. coefficients , and show that the distr...
We describe the exact tail behavior of the solutions to certain nonlinear stochastic differential eq...
In our thesis we analyze one class of heavy-tailed distributions. Distributions belonging to this cl...
We study a linear recursion with random Markov-dependent coefficients. In a "regular variation in, r...
AbstractThe equationx″+a2(t)x=0,a(t):=ak>0if tk−1⩽t<tk(k∈N) is considered where {ak}k=1∞ is given an...
In this paper, we introduce a new time series model having a stochastic exponential tail. This model...
AbstractWe describe the exact tail behavior of the solutions to certain nonlinear stochastic differe...
Distributions of sample quantiles of measurable stochastic processes are important for the purpose o...
International audienceIn this paper we study the dsitributional tail behavior of the solution to a l...
We consider some elementary functions of the components of a regularly varying random vector such as...
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...
International audienceThe behaviour of the tails of the invariant distribution for stochastic differ...
We consider the tail behavior of random variablesRwhich are solutions of the distributional equation...
International audienceThis work is concerned with the stability properties of linear stochastic diff...
We consider the equation Rn=Qn+MnRn-1, with random non-i.i.d. coefficients , and show that the distr...
We describe the exact tail behavior of the solutions to certain nonlinear stochastic differential eq...
In our thesis we analyze one class of heavy-tailed distributions. Distributions belonging to this cl...
We study a linear recursion with random Markov-dependent coefficients. In a "regular variation in, r...
AbstractThe equationx″+a2(t)x=0,a(t):=ak>0if tk−1⩽t<tk(k∈N) is considered where {ak}k=1∞ is given an...
In this paper, we introduce a new time series model having a stochastic exponential tail. This model...
AbstractWe describe the exact tail behavior of the solutions to certain nonlinear stochastic differe...
Distributions of sample quantiles of measurable stochastic processes are important for the purpose o...