Pages that link to "Item:Q2080785"
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The following pages link to Modelling extremes of spatial aggregates of precipitation using conditional methods (Q2080785):
Displaying 13 items.
- A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling (Q549647) (← links)
- Geoadditive modeling for extreme rainfall data (Q1621237) (← links)
- The MELBS team winning entry for the EVA2017 competition for spatiotemporal prediction of extreme rainfall using generalized extreme value quantiles (Q1792637) (← links)
- On the tail behaviour of aggregated random variables (Q2079609) (← links)
- A hierarchical model for the analysis of spatial rainfall extremes (Q2259827) (← links)
- (Q2937602) (← links)
- (Q4892519) (← links)
- (Q5091388) (← links)
- Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes (Q5120643) (← links)
- A marginal modelling approach for predicting wildfire extremes across the contiguous United States (Q6100565) (← links)
- An efficient workflow for modelling high-dimensional spatial extremes (Q6581672) (← links)
- Likelihood-Free Parameter Estimation with Neural Bayes Estimators (Q6585610) (← links)
- Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning (Q6637459) (← links)
