Extreme value modeling has been attracting the attention of researchers in diverse areas such as the environment, engineering, and finance. Multivariate extreme value distributions are particularly suitable to model the tails of multidimensional phenomena. The analysis of the dependence among multivariate maxima is useful to evaluate risk. Here we present new multivariate extreme value models, as well as, coefficients to assess multivariate extremal dependence.info:eu-repo/semantics/publishedVersio
Multivariate extreme value distributions are a common choice for modelling multivariate extremes. In...
We investigate extreme dependence in a multivariate setting with special emphasis on financial appli...
We investigate extreme dependence in a multivariate setting with special emphasis on financial appli...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
In multivariate extreme value analysis, the nature of the extremal dependence between variables shou...
summary:Due to globalization and relaxed market regulation, we have assisted to an increasing of ext...
summary:Due to globalization and relaxed market regulation, we have assisted to an increasing of ext...
The aim of this thesis is to present novel contributions in multivariate extreme value analysis, wit...
Tail dependence is an important issue to evaluate risk. The multivariate extreme values theory is th...
The aim of this thesis is to present novel contributions in multivariate extreme value analysis, wit...
We present a generalized notion of extreme multivariate dependence between two random vectors which ...
Inference over multivariate tails often requires a number of assumptions which may affect the assess...
International audienceIn this paper, we explore tail dependence modelling in multivariate extreme va...
International audienceIn this paper, we explore tail dependence modelling in multivariate extreme va...
We investigate extreme dependence in a multivariate setting with special emphasis on financial appli...
Multivariate extreme value distributions are a common choice for modelling multivariate extremes. In...
We investigate extreme dependence in a multivariate setting with special emphasis on financial appli...
We investigate extreme dependence in a multivariate setting with special emphasis on financial appli...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
In multivariate extreme value analysis, the nature of the extremal dependence between variables shou...
summary:Due to globalization and relaxed market regulation, we have assisted to an increasing of ext...
summary:Due to globalization and relaxed market regulation, we have assisted to an increasing of ext...
The aim of this thesis is to present novel contributions in multivariate extreme value analysis, wit...
Tail dependence is an important issue to evaluate risk. The multivariate extreme values theory is th...
The aim of this thesis is to present novel contributions in multivariate extreme value analysis, wit...
We present a generalized notion of extreme multivariate dependence between two random vectors which ...
Inference over multivariate tails often requires a number of assumptions which may affect the assess...
International audienceIn this paper, we explore tail dependence modelling in multivariate extreme va...
International audienceIn this paper, we explore tail dependence modelling in multivariate extreme va...
We investigate extreme dependence in a multivariate setting with special emphasis on financial appli...
Multivariate extreme value distributions are a common choice for modelling multivariate extremes. In...
We investigate extreme dependence in a multivariate setting with special emphasis on financial appli...
We investigate extreme dependence in a multivariate setting with special emphasis on financial appli...