The precise large deviations asymptotics for the sums of independent identical random variables when the distribution of the summand belongs to the class S ∗ of heavy tailed distributions is studied. Under mild conditions, we extend the previous results from the paper Denisov et al. (2010) to asymptotics that are valid uniformly over some time interval. Finally, we apply the main result on the multi-risk model introduced by Wang and Wang (2007)
Abstract. The large deviation problem for sums of i.i.d. random vectors is considered. It is assumed...
Modern risk modelling approaches deal with vectors of multiple components. The components could be, ...
AbstractIt is known that large deviations of sums of subexponential random variables are most likely...
The precise large deviations asymptotics for the sums of independent identical random variables when...
Let {Xk, k ¿ 1} be a sequence of independent, identically distributed nonnegative random variables w...
Let {Xk, k ≥ 1} be a sequence of independent, identically distributed nonnegative random variables w...
AbstractIt is known that large deviations of sums of subexponential random variables are most likely...
It is known that large deviations of sums of subexponential random variables are most likely realise...
Insurance supervision demands that the ruin probability of an insurance company does not exceed a ce...
ABSTRACT: It is known that large deviations of sums of subexponential random variables are most like...
In this paper we establish a local precise large deviation result for sums Sn, n=1,2,... of independ...
Modern risk modelling approaches deal with vectors of multiple components. The components could be, ...
Modern risk modelling approaches deal with vectors of multiple components. The components could be, ...
International audienceAsymptotics deviation probabilities of the sum S n = X 1 + · · · + X n of inde...
International audienceAsymptotics deviation probabilities of the sum S n = X 1 + · · · + X n of inde...
Abstract. The large deviation problem for sums of i.i.d. random vectors is considered. It is assumed...
Modern risk modelling approaches deal with vectors of multiple components. The components could be, ...
AbstractIt is known that large deviations of sums of subexponential random variables are most likely...
The precise large deviations asymptotics for the sums of independent identical random variables when...
Let {Xk, k ¿ 1} be a sequence of independent, identically distributed nonnegative random variables w...
Let {Xk, k ≥ 1} be a sequence of independent, identically distributed nonnegative random variables w...
AbstractIt is known that large deviations of sums of subexponential random variables are most likely...
It is known that large deviations of sums of subexponential random variables are most likely realise...
Insurance supervision demands that the ruin probability of an insurance company does not exceed a ce...
ABSTRACT: It is known that large deviations of sums of subexponential random variables are most like...
In this paper we establish a local precise large deviation result for sums Sn, n=1,2,... of independ...
Modern risk modelling approaches deal with vectors of multiple components. The components could be, ...
Modern risk modelling approaches deal with vectors of multiple components. The components could be, ...
International audienceAsymptotics deviation probabilities of the sum S n = X 1 + · · · + X n of inde...
International audienceAsymptotics deviation probabilities of the sum S n = X 1 + · · · + X n of inde...
Abstract. The large deviation problem for sums of i.i.d. random vectors is considered. It is assumed...
Modern risk modelling approaches deal with vectors of multiple components. The components could be, ...
AbstractIt is known that large deviations of sums of subexponential random variables are most likely...