Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over multivariate thresholds of random vectors in the domain of attraction of a max-stable 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
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Multivariate peaks over thresholds modelling based on generalized Pareto distributions has up to now...
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...
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...
Statistical inference for extremes has been a subject of intensive research over the past couple of ...
The investigation of multivariate generalized Pareto distributions (GPDs) has begun only recently an...
AbstractThe investigation of multivariate generalized Pareto distributions (GPDs) has begun only rec...
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...
It is well-known that the univariate generalized Pareto distributions (GPD) are characterized by the...
The multivariate generalized Pareto distribution arises as the limit of a suitably normalized vector...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Multivariate peaks over thresholds modelling based on generalized Pareto distributions has up to now...
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...
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...
Statistical inference for extremes has been a subject of intensive research over the past couple of ...
The investigation of multivariate generalized Pareto distributions (GPDs) has begun only recently an...
AbstractThe investigation of multivariate generalized Pareto distributions (GPDs) has begun only rec...
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...
It is well-known that the univariate generalized Pareto distributions (GPD) are characterized by the...
The multivariate generalized Pareto distribution arises as the limit of a suitably normalized vector...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Multivariate peaks over thresholds modelling based on generalized Pareto distributions has up to now...