Pages that link to "Item:Q5120643"
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The following pages link to Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes (Q5120643):
Displaying 16 items.
- Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes (Q2028570) (← links)
- Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures (Q2028571) (← links)
- A regionalisation approach for rainfall based on extremal dependence (Q2028583) (← links)
- Modelling extremes of spatial aggregates of precipitation using conditional methods (Q2080785) (← links)
- Modelling sub-daily precipitation extremes with the blended generalised extreme value distribution (Q2102980) (← links)
- Modeling spatial tail dependence with Cauchy convolution processes (Q2106793) (← links)
- Modeling spatial extremes using normal mean-variance mixtures (Q2135577) (← links)
- Conditional normal extreme-value copulas (Q2231306) (← links)
- A spliced gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting (Q2273005) (← links)
- Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty (Q5066495) (← links)
- A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation (Q5857128) (← links)
- Distributed Inference for Spatial Extremes Modeling in High Dimensions (Q6567924) (← links)
- Advances in statistical modeling of spatial extremes (Q6602343) (← links)
- Spatial hierarchical modeling of threshold exceedances using rate mixtures (Q6626383) (← links)
- Estimating atmospheric motion winds from satellite image data using space-time drift models (Q6626624) (← links)
- Nonparametric estimator of the tail dependence coefficient: balancing bias and variance (Q6640112) (← links)
