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stat.ME2026
Fusing Sparse Observations and Dense Simulations for Spatial Extreme Value Analysis: Application to U.S. Coastal Sea Levels
Brian N. White, Brian Blanton, Rick Luettich +1
Estimating spatial extremes from sparse observational networks produces uncertain return level maps, but dense output from physics-based simulation models is often available as a c…
stat.ME2012★ 11 cited
Dependence Structure of Spatial Extremes Using Threshold Approach
Soyoung Jeon, Richard L. Smith
The analysis of spatial extremes requires the joint modeling of a spatial process at a large number of stations and max-stable processes have been developed as a class of stochasti…