Exact simulation of Brown-Resnick random fields at a finite number of locations
From MaRDI portal
Publication:2352979
DOI10.1007/s10687-015-0214-4zbMath1319.60108arXiv1406.5624OpenAlexW1996139388MaRDI QIDQ2352979
Publication date: 7 July 2015
Published in: Extremes (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1406.5624
Monte Carlo simulationmax-stable processesextremesGaussian random fieldsPickands' constantBrown-Resnick random fields
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (47)
Extremes of threshold-dependent Gaussian processes ⋮ Extremal behavior of hitting a cone by correlated Brownian motion with drift ⋮ Tail measure and spectral tail process of regularly varying time series ⋮ Extremes of vector-valued Gaussian processes with trend ⋮ Extremes of Gaussian chaos processes with trend ⋮ Extremes of \(\alpha(t)\)-locally stationary Gaussian processes with non-constant variances ⋮ On the continuity of Pickands constants ⋮ Representations of \(\max\)-stable processes via exponential tilting ⋮ Extremes of \(q\)-Ornstein-Uhlenbeck processes ⋮ Hierarchical Archimax copulas ⋮ Maximum likelihood estimation of clock skew in IEEE 1588 with fractional Gaussian noise ⋮ Pickands-Piterbarg constants for self-similar Gaussian processes ⋮ Extremes of Lp-norm of vector-valued Gaussian processes with trend ⋮ Approximation of sojourn times of Gaussian processes ⋮ Extremes of randomly scaled Gumbel risks ⋮ Extremes ofγ-reflected Gaussian processes with stationary increments ⋮ Extremes of Gaussian random fields with regularly varying dependence structure ⋮ Regularly varying random fields ⋮ Estimation of change-point models ⋮ Extreme-value limit of the convolution of exponential and multivariate normal distributions: link to the Hüsler-Reiß distribution ⋮ Generalized Pickands constants and stationary max-stable processes ⋮ On generalised Piterbarg constants ⋮ Extremes on different grids and continuous time of stationary processes ⋮ On generalized Berman constants ⋮ High-dimensional inference using the extremal skew-\(t\) process ⋮ Extremes of vector-valued Gaussian processes: exact asymptotics ⋮ Ruin problem of a two-dimensional fractional Brownian motion risk process ⋮ Extremes of standard multifractional Brownian motion ⋮ On Extremal Index of max-stable stationary processes ⋮ Equivalent representations of max-stable processes via ℓp-norms ⋮ Extremes of locally stationary chi-square processes with trend ⋮ Extremal behavior of squared Bessel processes attracted by the Brown-Resnick process ⋮ ABC model selection for spatial extremes models applied to south Australian maximum temperature data ⋮ On extremal index of max-stable random fields ⋮ Approximation of supremum of max-stable stationary processes \& Pickands constants ⋮ Extremes of nonstationary Gaussian fluid queues ⋮ Efficient simulation of Brown‒Resnick processes based on variance reduction of Gaussian processes ⋮ Tail asymptotics for Shepp-statistics of Brownian motion in \(\mathbb{R}^d \) ⋮ Drawdown and drawup for fractional Brownian motion with trend ⋮ Uniform tail approximation of homogenous functionals of Gaussian fields ⋮ A horse race between the block maxima method and the peak-over-threshold approach ⋮ A comparative tour through the simulation algorithms for max-stable processes ⋮ The time of ultimate recovery in Gaussian risk model ⋮ On logarithmically optimal exact simulation of max-stable and related random fields on a compact set ⋮ Derivatives of sup-functionals of fractional Brownian motion evaluated at \(H=\frac{1}{2}\) ⋮ Piterbarg's max-discretization theorem for stationary vector Gaussian processes observed on different grids ⋮ Extremes on river networks
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On asymptotic constants in the theory of extremes for Gaussian processes
- Conditional sampling for max-stable processes with a mixed moving maxima representation
- An equivalent representation of the Brown-Resnick process
- Spectral representations of sum- and max-stable processes
- Simulation of Brown-Resnick processes
- 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
- Models for stationary max-stable random fields
- On spatial extremes: with application to a rainfall problem
- Exact and fast simulation of max-stable processes on a compact set using the normalized spectral representation
- Extreme values of independent stochastic processes
- Ergodic theorems for subadditive spatial processes
- Statistical Inference for Max-Stable Processes in Space and Time
- Space–Time Modelling of Extreme Events
- Conditional simulation of max-stable processes
This page was built for publication: Exact simulation of Brown-Resnick random fields at a finite number of locations