AbstractWe discuss rates of convergence for the distribution of normalized sample extremes to the appropriate limit distribution. We show that the rate of convergence depends on that of the corresponding dependence functions and that of the marginals. The univariate results are well known by now, so we restrict our attention to dependence functions (Sections 2 and 3). In the final section of the paper we obtain a Berry-Esséen type result for multivariate extremes
This paper reviews the main probabilistic results on multivariate extremes. Historically, this branc...
The set of the functions H, which are limiting distributions of linearly normalized maxima of n inde...
The limit distributions of multivariate extreme values of stationary random sequences are associated...
AbstractWe discuss rates of convergence for the distribution of normalized sample extremes to the ap...
AbstractIt is well known that a bivariate distribution belongs to the domain of attraction of an ext...
Existing theory for multivariate extreme values focuses upon characterizations of the distributional...
AbstractAny multivariate distribution can occur as the limit of extreme values in a sequence of inde...
Let H be the limiting distribution of a vector of maxima from a d-dimensional stationary sequence wi...
It is well known that the rate of convergence of the extremes in an iid sample of univariate random ...
In the present work we study multivariate extreme value theory. Our main focus is on exceedances ove...
This paper deals with a weak convergence of maximum vectors built on the base of stationary and norm...
In the present work we study multivariate extreme value theory. Our main focus is on exceedances ove...
The paper considers the problem of estimating the dependence function of a bivariate extreme surviva...
Abstract. This paper presents a new estimation procedure for the limit distribution of the maximum o...
This paper reviews the main probabilistic results on multivariate extremes. Historically, this branc...
This paper reviews the main probabilistic results on multivariate extremes. Historically, this branc...
The set of the functions H, which are limiting distributions of linearly normalized maxima of n inde...
The limit distributions of multivariate extreme values of stationary random sequences are associated...
AbstractWe discuss rates of convergence for the distribution of normalized sample extremes to the ap...
AbstractIt is well known that a bivariate distribution belongs to the domain of attraction of an ext...
Existing theory for multivariate extreme values focuses upon characterizations of the distributional...
AbstractAny multivariate distribution can occur as the limit of extreme values in a sequence of inde...
Let H be the limiting distribution of a vector of maxima from a d-dimensional stationary sequence wi...
It is well known that the rate of convergence of the extremes in an iid sample of univariate random ...
In the present work we study multivariate extreme value theory. Our main focus is on exceedances ove...
This paper deals with a weak convergence of maximum vectors built on the base of stationary and norm...
In the present work we study multivariate extreme value theory. Our main focus is on exceedances ove...
The paper considers the problem of estimating the dependence function of a bivariate extreme surviva...
Abstract. This paper presents a new estimation procedure for the limit distribution of the maximum o...
This paper reviews the main probabilistic results on multivariate extremes. Historically, this branc...
This paper reviews the main probabilistic results on multivariate extremes. Historically, this branc...
The set of the functions H, which are limiting distributions of linearly normalized maxima of n inde...
The limit distributions of multivariate extreme values of stationary random sequences are associated...