Pages that link to "Item:Q5229925"
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The following pages link to Modeling Spatial Processes with Unknown Extremal Dependence Class (Q5229925):
Displaying 41 items.
- A flexible dependence model for spatial extremes (Q256468) (← links)
- Diagnostics for pairwise extremal dependence in spatial processes (Q1424684) (← links)
- Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes (Q2028570) (← links)
- Basin-wide spatial conditional extremes for severe ocean storms (Q2028585) (← links)
- Rank-based estimation under asymptotic dependence and independence, with applications to spatial extremes (Q2054519) (← links)
- A horse race between the block maxima method and the peak-over-threshold approach (Q2075692) (← links)
- Modeling spatial tail dependence with Cauchy convolution processes (Q2106793) (← links)
- Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude (Q2135353) (← links)
- Modeling spatial extremes using normal mean-variance mixtures (Q2135577) (← links)
- Asymmetric tail dependence modeling, with application to cryptocurrency market data (Q2170437) (← links)
- Estimating high-resolution red sea surface temperature hotspots, using a low-rank semiparametric spatial model (Q2245130) (← links)
- New exploratory tools for extremal dependence: \(\chi \) networks and annual extremal networks (Q2273002) (← links)
- Extremal dependence of random scale constructions (Q2283053) (← links)
- Semiparametric bivariate modelling with flexible extremal dependence (Q2302487) (← links)
- A Spatial Markov Model for Climate Extremes (Q3391188) (← links)
- Bayesian Model Averaging Over Tree-based Dependence Structures for Multivariate Extremes (Q3391465) (← links)
- (Q3584040) (← links)
- Linking representations for multivariate extremes via a limit set (Q5055325) (← links)
- Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty (Q5066495) (← links)
- A Vecchia approximation for high-dimensional Gaussian cumulative distribution functions arising from spatial data (Q5086084) (← links)
- Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes (Q5120643) (← links)
- Hierarchical Space-Time Modeling of Asymptotically Independent Exceedances With an Application to Precipitation Data (Q5130596) (← links)
- A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation (Q5857128) (← links)
- Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets With Many Locations (Q5881140) (← links)
- Joint modelling of the body and tail of bivariate data (Q6071704) (← links)
- Analysis of wildfires and their extremes via spatial quantile autoregressive model (Q6100562) (← links)
- A modeler's guide to extreme value software (Q6144812) (← links)
- High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields (Q6144814) (← links)
- Sub-asymptotic motivation for new conditional multivariate extreme models (Q6541814) (← links)
- An efficient workflow for modelling high-dimensional spatial extremes (Q6581672) (← links)
- Max-convolution processes with random shape indicator kernels (Q6596184) (← links)
- Advances in statistical modeling of spatial extremes (Q6602343) (← links)
- Spatial hierarchical modeling of threshold exceedances using rate mixtures (Q6626383) (← links)
- Spatial dependence of extreme seas in the North East Atlantic from satellite altimeter measurements (Q6626390) (← links)
- Spatial deformation for nonstationary extremal dependence (Q6626395) (← links)
- New estimation methods for extremal bivariate return curves (Q6626603) (← links)
- A hierarchical Bayesian non-asymptotic extreme value model for spatial data (Q6626619) (← links)
- Modelling non-stationarity in asymptotically independent extremes (Q6626684) (← links)
- Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function (Q6635940) (← links)
- Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning (Q6637459) (← links)
- Nonparametric estimator of the tail dependence coefficient: balancing bias and variance (Q6640112) (← links)