Multivariate extreme value distributions arise as the limiting joint distribution of normalized componentwise maxima/minima. No parametric family exists for the dependence between the margins. This paper extends to more than two variables the models and results for the bivariate case obtained by Tawn (1988). Two new families of physically motivated parametric models for the dependence structure are presented and are illustrated with an application to trivariate extreme sea level data
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
We present properties of a dependence measure that arises in the study of extreme values in multivar...
In this paper, we explore tail dependence modelling in multivariate extreme value distributions. The...
Bivariate extreme value distributions arise as the limiting distributions of renormalized componentw...
Bivariate extreme value distributions arise as the limiting distributions of renormalized componentw...
Several parametric families of multivariate extreme value distributions (Hüsler and Reiss 1989, Tawn...
AbstractUnderstanding and modeling dependence structures for multivariate extreme values are of inte...
Threshold methods for multivariate extreme values are based on the use of asymptotically justified a...
Multivariate extreme value distributions arise as the limiting distributions of normalised component...
Summary. Multivariate extreme value theory and methods concern the characterization, estimation and ...
Projection of future extreme events is a major issue in a large number of areas including the enviro...
Multivariate extreme events are typically modelled using multivariate extreme value distributions. U...
A number of different dependence scenarios can arise in the theory of multivariate extremes, entaili...
The spatial extreme value data observed at many sites is usually modelled by a multivariate extreme ...
This work considers various approaches for modelling multivariate extremal events. First we review t...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
We present properties of a dependence measure that arises in the study of extreme values in multivar...
In this paper, we explore tail dependence modelling in multivariate extreme value distributions. The...
Bivariate extreme value distributions arise as the limiting distributions of renormalized componentw...
Bivariate extreme value distributions arise as the limiting distributions of renormalized componentw...
Several parametric families of multivariate extreme value distributions (Hüsler and Reiss 1989, Tawn...
AbstractUnderstanding and modeling dependence structures for multivariate extreme values are of inte...
Threshold methods for multivariate extreme values are based on the use of asymptotically justified a...
Multivariate extreme value distributions arise as the limiting distributions of normalised component...
Summary. Multivariate extreme value theory and methods concern the characterization, estimation and ...
Projection of future extreme events is a major issue in a large number of areas including the enviro...
Multivariate extreme events are typically modelled using multivariate extreme value distributions. U...
A number of different dependence scenarios can arise in the theory of multivariate extremes, entaili...
The spatial extreme value data observed at many sites is usually modelled by a multivariate extreme ...
This work considers various approaches for modelling multivariate extremal events. First we review t...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
We present properties of a dependence measure that arises in the study of extreme values in multivar...
In this paper, we explore tail dependence modelling in multivariate extreme value distributions. The...