Pages that link to "Item:Q2259827"

The following pages link to A hierarchical model for the analysis of spatial rainfall extremes (Q2259827):

Displaying 25 items.

• A flexible dependence model for spatial extremes (Q256468) (← links)
• A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling (Q549647) (← links)
• Spatial modeling of extreme snow depth (Q652338) (← links)
• Heavy tailed durations of regional rainfall. (Q834022) (← links)
• Geoadditive modeling for extreme rainfall data (Q1621237) (← links)
• A Bayesian hierarchical model for spatial extremes with multiple durations (Q1659481) (← links)
• A Bayesian spatio-temporal model for precipitation extremes -- STOR team contribution to the EVA2017 challenge (Q1792629) (← links)
• The MELBS team winning entry for the EVA2017 competition for spatiotemporal prediction of extreme rainfall using generalized extreme value quantiles (Q1792637) (← links)
• A regionalisation approach for rainfall based on extremal dependence (Q2028583) (← links)
• Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes (Q2028587) (← 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)
• Spatio-temporal modelling of extreme storms (Q2258573) (← links)
• Continuous spatial process models for spatial extreme values (Q2260130) (← links)
• Spatial hierarchical modeling of precipitation extremes from a regional climate model (Q2260169) (← links)
• A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
• Spatial-temporal rainfall modelling for flood risk estimation (Q2505909) (← links)
• (Q4892519) (← links)
• Investigating precipitation extremes in South Carolina with focus on the state's October 2015 precipitation event (Q5036505) (← 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)
• CAN A REGIONAL CLIMATE MODEL REPRODUCE OBSERVED EXTREME TEMPERATURES (Q5148622) (← links)
• Statistical modeling of spatial extremes (Q5962684) (← links)
• Bayesian hierarchical modeling of extreme hourly precipitation in Norway (Q6139129) (← links)
• Computationally efficient spatial modeling of annual maximum 24‐h precipitation on a fine grid (Q6139151) (← links)
• Investigating the association between late spring Gulf of Mexico sea surface temperatures and U.S. Gulf Coast precipitation extremes with focus on Hurricane Harvey (Q6626133) (← links)