A self-similar, continuous process with stationary increments is considered as an approximation to the surplus process in collective risk theory. This approximation can be seen as the weak limit of risk processes with linear premium income, where the claim sizes show a long-range dependence. It is then proved that the corresponding ruin times converge weakly to the ruin time of the approximation process. A situation where long-range dependence of claim sizes occurs is given in an example where the risk process evolves according to an environmental process with two states. If at least one of the distributions of the time between two changes of the state has a regularly varying tail, a long-range dependence is observed. By way of example, upp...
Self-similar stochastic processes are used for stochastic modeling whenever it is expected that long...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
This thesis investigates ruin probabilities and first passage times for self-similar processes. We p...
KRZYSZTOF BURNECKI * ( W a o n ~ w) --. Abstract. Self-similar processes are closely connected with...
on the occasion of his 70th birthday Selfsimilar processes such as fractional Brownian motion are st...
International audienceWe study a renewal risk model in which the surplus process of the insurance co...
International audienceWe study a renewal risk model in which the surplus process of the insurance co...
This thesis is composed of five chapters, regarding several models for dependence in stochastic proc...
AbstractWe consider a generalization of the classical model of collective risk theory. It is assumed...
We derive the exact asymptotic behavior of the ruin probability P{X(t)>x for some t>0} for the proce...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
The aim of this paper is to present a result of discrete approximation of some class of stable self-...
In this paper we derive the exact asymptotics of the probability of Parisian ruin for self-similar G...
The object of this note is to parallel two properties of stochastic processes: self-similarity (ss) ...
Self-similar stochastic processes are used for stochastic modeling whenever it is expected that long...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
This thesis investigates ruin probabilities and first passage times for self-similar processes. We p...
KRZYSZTOF BURNECKI * ( W a o n ~ w) --. Abstract. Self-similar processes are closely connected with...
on the occasion of his 70th birthday Selfsimilar processes such as fractional Brownian motion are st...
International audienceWe study a renewal risk model in which the surplus process of the insurance co...
International audienceWe study a renewal risk model in which the surplus process of the insurance co...
This thesis is composed of five chapters, regarding several models for dependence in stochastic proc...
AbstractWe consider a generalization of the classical model of collective risk theory. It is assumed...
We derive the exact asymptotic behavior of the ruin probability P{X(t)>x for some t>0} for the proce...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
The aim of this paper is to present a result of discrete approximation of some class of stable self-...
In this paper we derive the exact asymptotics of the probability of Parisian ruin for self-similar G...
The object of this note is to parallel two properties of stochastic processes: self-similarity (ss) ...
Self-similar stochastic processes are used for stochastic modeling whenever it is expected that long...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...