The generalized Pareto process; with a view towards application and simulation
From MaRDI portal
Publication:470047
DOI10.3150/13-BEJ538zbMath1312.60068arXiv1203.2551OpenAlexW3103053406MaRDI QIDQ470047
Publication date: 11 November 2014
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1203.2551
domain of attractionextreme value theorymax-stable processesfunctional regular variationgeneralized Pareto processpeaks-over-threshold method
Related Items (37)
Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets With Many Locations ⋮ Modeling spatial extremes using normal mean-variance mixtures ⋮ On generalized max-linear models and their statistical interpolation ⋮ Bayesian Spatial Clustering of Extremal Behavior for Hydrological Variables ⋮ Generalized Pareto processes and fund liquidity risk ⋮ Approximation and estimation of very small probabilities of multivariate extreme events ⋮ A Bayesian hierarchical model for spatial extremes with multiple durations ⋮ On max-stable processes and the functional \(D\)-norm ⋮ Analysis of wildfires and their extremes via spatial quantile autoregressive model ⋮ A modeler's guide to extreme value software ⋮ High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields ⋮ Modeling the spatial behavior of the meteorological drivers' effects on extreme ozone ⋮ Modelling dependency effect to extreme value distributions with application to extreme wind speed at Port Elizabeth, South Africa: a frequentist and Bayesian approaches ⋮ Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes ⋮ Projecting flood-inducing precipitation with a Bayesian analogue model ⋮ Hierarchical Space-Time Modeling of Asymptotically Independent Exceedances With an Application to Precipitation Data ⋮ Multivariate generalized Pareto distributions: parametrizations, representations, and properties ⋮ Multivariate peaks over thresholds models ⋮ Improved inference for the generalized Pareto distribution ⋮ Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures ⋮ A spatio-temporal model for Red Sea surface temperature anomalies ⋮ Basin-wide spatial conditional extremes for severe ocean storms ⋮ Extremal dependence of random scale constructions ⋮ Factor Copula Models for Replicated Spatial Data ⋮ Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory ⋮ Principal component analysis for multivariate extremes ⋮ Empirical tail copulas for functional data ⋮ On functional records and champions ⋮ Modeling Spatial Processes with Unknown Extremal Dependence Class ⋮ Testing for changes in the tail behavior of Brown-Resnick Pareto processes ⋮ A horse race between the block maxima method and the peak-over-threshold approach ⋮ Space-time trend detection and dependence modeling in extreme event approaches by functional peaks-over-thresholds: application to precipitation in Burkina Faso ⋮ One- versus multi-component regular variation and extremes of Markov trees ⋮ A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation ⋮ The spectrogram: a threshold-based inferential tool for extremes of stochastic processes ⋮ A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes ⋮ A flexible dependence model for spatial extremes
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Multivariate generalized Pareto distributions
- Semi-min-stable processes
- Residual life time at great age
- Statistical inference using extreme order statistics
- Weak consistency of extreme value estimators in \(C[0,1\)]
- On convergence toward an extreme value distribution in \(C[0,1\)]
- Extremal behavior of regularly varying stochastic processes
- Spatial extremes: models for the stationary case
- Asymptotic normality of extreme value estimators on \(C[0,1\)]
This page was built for publication: The generalized Pareto process; with a view towards application and simulation