Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over multivariate thresholds of random vectors in the domain of attraction of a maxstable distribution. These distributions can be parametrized and represented in a number of different ways. Moreover, generalized Pareto distributions enjoy a number of interesting stability properties. An overview of the main features of such distributions is given, expressed compactly in several parametrizations, giving the potential user of these distributions a convenient catalogue of ways to handle and work with generalized Pareto distributions
textabstractWhen assessing the impact of extreme events, it is often not just a single component, bu...
In this paper, we introduce a new generalized Pareto distribution and studied its properties. Some w...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
It is well-known that the univariate generalized Pareto distributions (GPD) are characterized by the...
Statistical inference for extremes has been a subject of intensive research over the past couple of ...
AbstractThe investigation of multivariate generalized Pareto distributions (GPDs) has begun only rec...
AbstractIt is well-known that the univariate generalized Pareto distributions (GPD) are characterize...
The investigation of multivariate generalized Pareto distributions (GPDs) has begun only recently an...
In this paper, several distributional properties and characterization theorems of the generalized mu...
AbstractIn this paper, several distributional properties and characterization theorems of the genera...
Two classes of k-dimensional distributions with generalized Pareto conditionals are characterized. T...
The multivariate generalized Pareto distribution arises as the limit of a suitably normalized vector...
Multivariate peaks over thresholds modelling based on generalized Pareto distributions has up to now...
textabstractWhen assessing the impact of extreme events, it is often not just a single component, bu...
In this paper, we introduce a new generalized Pareto distribution and studied its properties. Some w...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
It is well-known that the univariate generalized Pareto distributions (GPD) are characterized by the...
Statistical inference for extremes has been a subject of intensive research over the past couple of ...
AbstractThe investigation of multivariate generalized Pareto distributions (GPDs) has begun only rec...
AbstractIt is well-known that the univariate generalized Pareto distributions (GPD) are characterize...
The investigation of multivariate generalized Pareto distributions (GPDs) has begun only recently an...
In this paper, several distributional properties and characterization theorems of the generalized mu...
AbstractIn this paper, several distributional properties and characterization theorems of the genera...
Two classes of k-dimensional distributions with generalized Pareto conditionals are characterized. T...
The multivariate generalized Pareto distribution arises as the limit of a suitably normalized vector...
Multivariate peaks over thresholds modelling based on generalized Pareto distributions has up to now...
textabstractWhen assessing the impact of extreme events, it is often not just a single component, bu...
In this paper, we introduce a new generalized Pareto distribution and studied its properties. Some w...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...