• A 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 theoreti-cal properties of its estimator. Its behaviour is also illustrated on a small simulation study and a real data set. Key-Words: • extremal coefficient; method-of-moment; maximum likelihood. AMS Subject Classification: • 62G05, 62G20, 62G32
This thesis presents a study of the extreme value theory and is focused on two subjects rarely analy...
Extreme value theory is the part of probability and statistics that provides the theoretical backgro...
The core of the classical block maxima method consists of tting an extreme value distribution to a s...
International audienceA strong statistical research effort has been devoted in multivariate extreme ...
International audienceCharacterizing the behaviour of multivariate or spatial extreme values is of f...
Volume 1For spatial processes such as environmental ones, it is of great importance to understand ho...
summary:Spatial environmental processes often exhibit dependence in their large values. In order to ...
Probabilistic and statistical aspects of extremes of univariate processes have been extensively stud...
International audienceOne of the main concerns in extreme value theory is to quantify the dependence...
Conventionally, modelling of multivariate extremes has been based on the class of multivariate extre...
The block maxima method in extreme-value analysis proceeds by fitting an extreme-value distribution ...
Some problems of statistics can be reduced to extremal problems of minimizing functionals of smooth ...
Tail dependence is an important issue to evaluate risk. The multivariate extreme values theory is th...
Multivariate extreme value distributions arise as the limiting distributions of normalised component...
The main approach to inference for multivariate extremes consists in approximating the joint upper t...
This thesis presents a study of the extreme value theory and is focused on two subjects rarely analy...
Extreme value theory is the part of probability and statistics that provides the theoretical backgro...
The core of the classical block maxima method consists of tting an extreme value distribution to a s...
International audienceA strong statistical research effort has been devoted in multivariate extreme ...
International audienceCharacterizing the behaviour of multivariate or spatial extreme values is of f...
Volume 1For spatial processes such as environmental ones, it is of great importance to understand ho...
summary:Spatial environmental processes often exhibit dependence in their large values. In order to ...
Probabilistic and statistical aspects of extremes of univariate processes have been extensively stud...
International audienceOne of the main concerns in extreme value theory is to quantify the dependence...
Conventionally, modelling of multivariate extremes has been based on the class of multivariate extre...
The block maxima method in extreme-value analysis proceeds by fitting an extreme-value distribution ...
Some problems of statistics can be reduced to extremal problems of minimizing functionals of smooth ...
Tail dependence is an important issue to evaluate risk. The multivariate extreme values theory is th...
Multivariate extreme value distributions arise as the limiting distributions of normalised component...
The main approach to inference for multivariate extremes consists in approximating the joint upper t...
This thesis presents a study of the extreme value theory and is focused on two subjects rarely analy...
Extreme value theory is the part of probability and statistics that provides the theoretical backgro...
The core of the classical block maxima method consists of tting an extreme value distribution to a s...