International audienceA strong statistical research effort has been devoted in multivariate extreme value theory in order to assess the strength of dependence among extremes. This topic is particularly difficult in the case where block maxima are near independence. In this paper, we adapt and study a simple inference tool inspired from geostatistics, the madogram, to the context of asymptotic independence between pairwise block maxima. In particular, we introduce an extremal coefficient and study the theoretical properties of its estimator. Its behaviour is also illustrated on a small simulation study and a real data set
The block maxima method in extreme-value analysis proceeds by fitting an extreme-value distribution...
AbstractA well-known result in extreme value theory indicates that componentwise taken sample maxima...
International audienceFor a wide range of applications in hydrology, the probability distribution of...
International audienceA strong statistical research effort has been devoted in multivariate extreme ...
• A strong statistical research effort has been devoted in multivariate extreme value theory in orde...
summary:Spatial environmental processes often exhibit dependence in their large values. In order to ...
International audienceCharacterizing the behaviour of multivariate or spatial extreme values is of f...
This thesis presents a study of the extreme value theory and is focused on two subjects rarely analy...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
Multivariate extreme value theory is concerned with modeling the joint tail behavior of several rand...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
Volume 1Volume 1For spatial processes such as environmental ones, it is of great importance to under...
In multivariate extreme value analysis, the nature of the extremal dependence between variables shou...
Inference over multivariate tails often requires a number of assumptions which may affect the assess...
In the classical setting of bivariate extreme value theory, the procedures for estimating the probab...
The block maxima method in extreme-value analysis proceeds by fitting an extreme-value distribution...
AbstractA well-known result in extreme value theory indicates that componentwise taken sample maxima...
International audienceFor a wide range of applications in hydrology, the probability distribution of...
International audienceA strong statistical research effort has been devoted in multivariate extreme ...
• A strong statistical research effort has been devoted in multivariate extreme value theory in orde...
summary:Spatial environmental processes often exhibit dependence in their large values. In order to ...
International audienceCharacterizing the behaviour of multivariate or spatial extreme values is of f...
This thesis presents a study of the extreme value theory and is focused on two subjects rarely analy...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
Multivariate extreme value theory is concerned with modeling the joint tail behavior of several rand...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
Volume 1Volume 1For spatial processes such as environmental ones, it is of great importance to under...
In multivariate extreme value analysis, the nature of the extremal dependence between variables shou...
Inference over multivariate tails often requires a number of assumptions which may affect the assess...
In the classical setting of bivariate extreme value theory, the procedures for estimating the probab...
The block maxima method in extreme-value analysis proceeds by fitting an extreme-value distribution...
AbstractA well-known result in extreme value theory indicates that componentwise taken sample maxima...
International audienceFor a wide range of applications in hydrology, the probability distribution of...