Pages that link to "Item:Q500745"
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The following pages link to Geostatistics of dependent and asymptotically independent extremes (Q500745):
Displaying 34 items.
- A flexible dependence model for spatial extremes (Q256468) (← links)
- Non-stationary dependence structures for spatial extremes (Q321454) (← links)
- A hierarchical model for serially-dependent extremes: a study of heat waves in the western US (Q486166) (← links)
- On the measurement and treatment of extremes in time series (Q508717) (← links)
- Properties of extremal dependence models built on bivariate MAX-linearity (Q511993) (← links)
- Conditioned limit laws for inverted max-stable processes (Q739601) (← links)
- Composite likelihood inference by nonparametric saddlepoint tests (Q1623655) (← links)
- Exploration and inference in spatial extremes using empirical basis functions (Q2009121) (← links)
- Editorial to the special issue: Statistical modeling of environmental extremes (Q2028578) (← links)
- Semiparametric estimation for space-time max-stable processes: an \(F\)-madogram-based approach (Q2046292) (← links)
- Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude (Q2135353) (← links)
- Continuous simulation of storm processes (Q2158809) (← links)
- Fitting spatial max-mixture processes with unknown extremal dependence class: an exploratory analysis tool (Q2195748) (← links)
- Estimating high-resolution red sea surface temperature hotspots, using a low-rank semiparametric spatial model (Q2245130) (← 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)
- Factor Copula Models for Replicated Spatial Data (Q4690973) (← links)
- Censored pairwise likelihood-based tests for mixing coefficient of spatial max-mixture models (Q4958339) (← links)
- Spatial risk measures for max-stable and max-mixture processes (Q5086524) (← links)
- Hierarchical Space-Time Modeling of Asymptotically Independent Exceedances With an Application to Precipitation Data (Q5130596) (← links)
- Efficient simulation of Brown‒Resnick processes based on variance reduction of Gaussian processes (Q5215038) (← links)
- Modeling Spatial Processes with Unknown Extremal Dependence Class (Q5229925) (← links)
- Extremal behaviour of aggregated data with an application to downscaling (Q5742758) (← links)
- A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation (Q5857128) (← links)
- Statistical methods for assessing the contagion of spatial extreme events among regions (Q5866062) (← links)
- Spatial extreme value analysis to project extremes of large‐scale indicators for severe weather (Q6069104) (← links)
- A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes (Q6100557) (← links)
- Full likelihood inference for max-stable data (Q6541493) (← links)
- Spatial extremes and stochastic geometry for Gaussian-based peaks-over-threshold processes (Q6601111) (← links)
- Advances in statistical modeling of spatial extremes (Q6602343) (← links)
- Assessing models for estimation and methods for uncertainty quantification for spatial return levels (Q6626042) (← links)
- A multivariate spatial skew-\(t\) process for joint modeling of extreme precipitation indexes (Q6626136) (← links)
- Spatial deformation for nonstationary extremal dependence (Q6626395) (← links)
