AbstractLet T+ denote the first increasing ladder epoch in a random walk with a typical step-length X. It is known that for a large class of random walks with E(X)=0,E(X2)=∞, and the right-hand tail of the distribution function of X asymptotically larger than the left-hand tail, PT+⩾n∽n1β−1L+(n) as n→∞, with 1<β<2 and L+ slowly varying, if and only ifP{X⩾x}∽ 1/{xβL(x)} as x→+∞, with L slowly varying. In this paper it is shown how the asymptotic behaviour of L determines the asymptotic behaviour of L+ and vice versa. As a by-product, it follows that a certain class of random walks which are in the domain of attraction of one-sided stable laws is such that the down-going ladder height distribution has finite mean
AbstractLet F be a univariate distribution with negative expectation, and let M denote the distribut...
Introduction Veraverbeke's Theorem (Veraverbeke (1977), Embrechts and Veraverbeke (1982)) give...
Let X1,X2,... denote independent, identically distributed random variables with common distribution ...
AbstractLet T+ denote the first increasing ladder epoch in a random walk with a typical step-length ...
AbstractLet μ1+ and μ2+ be the distributions of the first ascending ladder heights of random walks w...
In this paper, some identities in laws involving ladder processes for random walks and Lévy process...
Asymptotic formulas for large-deviation probabilities of a ladder height in a random walk generated ...
AbstractFor a random walk governed by a general distribution function F on (−∞, +∞), we establish th...
AbstractIf{Sn, n ⩾ 0} is a random walk which drifts to +∞, a last exit occurs at (n, Sn) if Sm > Sn ...
In this paper, some identities in laws involving ladder processes for random walks and Lévy processe...
AbstractThe distribution of ladder variables is obtained for the class of processes with stationary ...
20 pages. New version of the paper, in a more general setting. To appear on: Probability Theory and ...
In this article, we study linearly edge-reinforced random walk on general multi-level ladders for la...
AbstractLet G = Σ∞n=0pnF∗n denote the probability measure subordinate to F with subordinator {Pn}N. ...
AbstractLet F be a distribution function with negative mean and regularly varying right tail. Under ...
AbstractLet F be a univariate distribution with negative expectation, and let M denote the distribut...
Introduction Veraverbeke's Theorem (Veraverbeke (1977), Embrechts and Veraverbeke (1982)) give...
Let X1,X2,... denote independent, identically distributed random variables with common distribution ...
AbstractLet T+ denote the first increasing ladder epoch in a random walk with a typical step-length ...
AbstractLet μ1+ and μ2+ be the distributions of the first ascending ladder heights of random walks w...
In this paper, some identities in laws involving ladder processes for random walks and Lévy process...
Asymptotic formulas for large-deviation probabilities of a ladder height in a random walk generated ...
AbstractFor a random walk governed by a general distribution function F on (−∞, +∞), we establish th...
AbstractIf{Sn, n ⩾ 0} is a random walk which drifts to +∞, a last exit occurs at (n, Sn) if Sm > Sn ...
In this paper, some identities in laws involving ladder processes for random walks and Lévy processe...
AbstractThe distribution of ladder variables is obtained for the class of processes with stationary ...
20 pages. New version of the paper, in a more general setting. To appear on: Probability Theory and ...
In this article, we study linearly edge-reinforced random walk on general multi-level ladders for la...
AbstractLet G = Σ∞n=0pnF∗n denote the probability measure subordinate to F with subordinator {Pn}N. ...
AbstractLet F be a distribution function with negative mean and regularly varying right tail. Under ...
AbstractLet F be a univariate distribution with negative expectation, and let M denote the distribut...
Introduction Veraverbeke's Theorem (Veraverbeke (1977), Embrechts and Veraverbeke (1982)) give...
Let X1,X2,... denote independent, identically distributed random variables with common distribution ...