AbstractIn this paper we consider stationary sequences with extremal index θ, 0<θ⪕1, and verifying an extension of Leadbetter's D(un) condition. For these sequences we prove that the limit law for high level exceedances is of the Compound Poisson Type and specify the parameters. We also give the joint limit law for exceedances of multiple levels and consequently, for any r upper order statistics
AbstractWe consider general nonstationary max-autoregressive sequences Xi, i ⩾ 1, with Xi = Zimax(Xi...
AbstractIt is known that the partial maximum of nonstationary Gaussian sequences converges in distri...
Let [X(n)] be a stationary sequence with marginal distribution in the domain of attraction of a max-...
It is known that the exceedance points of a hiqh level by a stationary sequence are asymptotically P...
AbstractWe consider extremal properties of Markov chains. Rootzén (1988) gives conditions for statio...
AbstractThe aim of this paper is to examine the weak limiting behavior of upper and lower extremes f...
AbstractA well-known property of stationary Gaussian processes is that the excursions over high leve...
A well-known property of stationary Gaussian processes is that the excursions over high levels ("pea...
We consider extremal properties of Markov chains. Rootzén (1988) gives conditions for stationary, re...
AbstractThe distribution of the excess process describing heights of extreme values can be approxima...
Classical peaks over threshold analysis is widely used for statistical modeling of sample extremes, ...
For a sequence of independent, identically distributed random variables any limiting point process f...
It is well known that, under broad assumptions, the time-scaled point process of exceedances of a hi...
AbstractCharacterization theorems are obtained for the possible limits in distribution of a family o...
• We present a new dependence condition for time series and extend the extremal types theorem. The d...
AbstractWe consider general nonstationary max-autoregressive sequences Xi, i ⩾ 1, with Xi = Zimax(Xi...
AbstractIt is known that the partial maximum of nonstationary Gaussian sequences converges in distri...
Let [X(n)] be a stationary sequence with marginal distribution in the domain of attraction of a max-...
It is known that the exceedance points of a hiqh level by a stationary sequence are asymptotically P...
AbstractWe consider extremal properties of Markov chains. Rootzén (1988) gives conditions for statio...
AbstractThe aim of this paper is to examine the weak limiting behavior of upper and lower extremes f...
AbstractA well-known property of stationary Gaussian processes is that the excursions over high leve...
A well-known property of stationary Gaussian processes is that the excursions over high levels ("pea...
We consider extremal properties of Markov chains. Rootzén (1988) gives conditions for stationary, re...
AbstractThe distribution of the excess process describing heights of extreme values can be approxima...
Classical peaks over threshold analysis is widely used for statistical modeling of sample extremes, ...
For a sequence of independent, identically distributed random variables any limiting point process f...
It is well known that, under broad assumptions, the time-scaled point process of exceedances of a hi...
AbstractCharacterization theorems are obtained for the possible limits in distribution of a family o...
• We present a new dependence condition for time series and extend the extremal types theorem. The d...
AbstractWe consider general nonstationary max-autoregressive sequences Xi, i ⩾ 1, with Xi = Zimax(Xi...
AbstractIt is known that the partial maximum of nonstationary Gaussian sequences converges in distri...
Let [X(n)] be a stationary sequence with marginal distribution in the domain of attraction of a max-...