A comparative tour through the simulation algorithms for max-stable processes
From MaRDI portal
Publication:2075789
DOI10.1214/20-STS820OpenAlexW2890821301MaRDI QIDQ2075789
Kirstin Strokorb, Marco Oesting
Publication date: 16 February 2022
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1809.09042
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Inference for clustered data using the independence loglikelihood
- Likelihood estimators for multivariate extremes
- Regular conditional distributions of continuous max-infinitely divisible random fields
- Extremal \(t\) processes: elliptical domain of attraction and a spectral representation
- Strong mixing properties of max-infinitely divisible random fields
- Random usc functions, max-stable processes and continuous choice
- Extremes of independent Gaussian processes
- Simulation of Brown-Resnick processes
- Stationary max-stable fields associated to negative definite functions
- Random capacities and their distributions
- A spectral representation for max-stable processes
- Semi-min-stable processes
- max-infinitely divisible and max-stable sample continuous processes
- Models for stationary max-stable random fields
- On the maximum likelihood estimator for the generalized extreme-value distribution
- Functional regular variations, Pareto processes and peaks over threshold
- Spatial statistics and computational methods
- On convergence toward an extreme value distribution in \(C[0,1\)]
- Simple models for multivariate regular variation and the Hüsler-Reiß Pareto distribution
- On logarithmically optimal exact simulation of max-stable and related random fields on a compact set
- Exact simulation of Brown-Resnick random fields at a finite number of locations
- Exact and fast simulation of max-stable processes on a compact set using the normalized spectral representation
- Sur la distribution limite du terme maximum d'une série aléatoire
- A nonparametric estimation procedure for bivariate extreme value copulas
- High-dimensional peaks-over-threshold inference
- Efficient simulation of Brown‒Resnick processes based on variance reduction of Gaussian processes
- Estimation of Hüsler–Reiss Distributions and Brown–Resnick Processes
- Exact simulation of max-stable processes
- An M-Estimator of Spatial Tail Dependence
- Statistical modeling of spatial extremes
This page was built for publication: A comparative tour through the simulation algorithms for max-stable processes