A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes
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Publication:2349588
DOI10.1214/14-AOAS804zbMath1454.62149arXiv1204.0286MaRDI QIDQ2349588
Hongwei Shang, Jun Yan, Xuebin Zhang
Publication date: 17 June 2015
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1204.0286
Applications of statistics to environmental and related topics (62P12) Extreme value theory; extremal stochastic processes (60G70) Statistics of extreme values; tail inference (62G32)
Related Items (4)
Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling ⋮ Neural networks for parameter estimation in intractable models ⋮ Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes ⋮ A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes
Uses Software
Cites Work
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- Efficient inference and simulation for elliptical Pareto processes
- A Covariance Estimator for GEE with Improved Small‐Sample Properties
- Extremal \(t\) processes: elliptical domain of attraction and a spectral representation
- Nonparametric estimation of multivariate extreme-value copulas
- The generalized Pareto process; with a view towards application and simulation
- Testing for a multivariate generalized Pareto distribution
- Spatial modeling of extreme snow depth
- On composite marginal likelihoods
- Rank-based inference for bivariate extreme-value copulas
- Multivariate generalized Pareto distributions
- Estimation of spatial max-stable models using threshold exceedances
- Stationary max-stable fields associated to negative definite functions
- Extremes and related properties of random sequences and processes
- A spectral representation for max-stable processes
- Residual life time at great age
- Statistical inference using extreme order statistics
- Models for stationary max-stable random fields
- Extreme value analysis of environmental time series: an application to trend detection in ground-level ozone. With comments and a rejoinder by the author
- The control of the false discovery rate in multiple testing under dependency.
- Testing for a generalized Pareto process
- On spatial extremes: with application to a rainfall problem
- On the block maxima method in extreme value theory: PWM estimators
- A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes
- Peaks-over-threshold stability of multivariate generalized Pareto distributions
- Asymptotic efficiency of the two-stage estimation method for copula-based models
- Spatial extremes: models for the stationary case
- A Diagnostic for Selecting the Threshold in Extreme Value Analysis
- Dependence modelling for spatial extremes
- On the likelihood function of Gaussian max-stable processes
- Variograms for spatial max-stable random fields
- A note on composite likelihood inference and model selection
- Bayesian Spatial Modeling of Extreme Precipitation Return Levels
- Statistics for near independence in multivariate extreme values
- A nonparametric estimation procedure for bivariate extreme value copulas
- A Note on the Efficiency of Sandwich Covariance Matrix Estimation
- Likelihood-Based Inference for Max-Stable Processes
- Geostatistics of extremes
- Efficient inference for spatial extreme value processes associated to log-Gaussian random functions
- Composite likelihood estimation for the Brown-Resnick process
- The two-dimensional Poisson process and extremal processes
- Composite likelihood estimation in multivariate data analysis
- An introduction to statistical modeling of extreme values
- Statistical modeling of spatial extremes
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