Pages that link to "Item:Q256468"
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The following pages link to A flexible dependence model for spatial extremes (Q256468):
Displaying 25 items.
- A hierarchical max-stable spatial model for extreme precipitation (Q98949) (← links)
- Extremes on river networks (Q262381) (← links)
- Non-stationary dependence structures for spatial extremes (Q321454) (← links)
- Extreme dependence models based on event magnitude (Q391856) (← links)
- Asymptotic models and inference for extremes of spatio-temporal data (Q650739) (← links)
- Estimation of spatial max-stable models using threshold exceedances (Q892811) (← links)
- Nonparametric spatial models for extremes: application to extreme temperature data (Q907383) (← links)
- Diagnostics for pairwise extremal dependence in spatial processes (Q1424684) (← links)
- A regionalisation approach for rainfall based on extremal dependence (Q2028583) (← links)
- Semiparametric estimation for space-time max-stable processes: an \(F\)-madogram-based approach (Q2046292) (← links)
- Space-time trend detection and dependence modeling in extreme event approaches by functional peaks-over-thresholds: application to precipitation in Burkina Faso (Q2081845) (← links)
- Modeling spatial extremes using normal mean-variance mixtures (Q2135577) (← links)
- Fitting spatial max-mixture processes with unknown extremal dependence class: an exploratory analysis tool (Q2195748) (← links)
- Dependence modelling for spatial extremes (Q2892085) (← links)
- A survey of spatial extremes: measuring spatial dependence and modeling spatial effects (Q2921620) (← links)
- Modelling pairwise dependence of maxima in space (Q3613149) (← 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)
- 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)
- Modeling Spatial Processes with Unknown Extremal Dependence Class (Q5229925) (← links)
- A Spatial Cross-Sectional Credibility Model with Dependence Among Risks (Q5379159) (← links)
- Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets With Many Locations (Q5881140) (← links)
- Advances in statistical modeling of spatial extremes (Q6602343) (← links)
- Recognizing a spatial extreme dependence structure: a deep learning approach (Q6626446) (← links)
