64 citations · 77 across the 5 of their papers we have counts for
6 papers
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…
Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach
Huang Huang, Dorit Hammerling, Bo Li +1
Projections of future climate change rely heavily on climate models, and combining climate models through a multi-model ensemble is both more accurate than a single climate model a…
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…
Pricing Weather Derivatives for Extreme Events
Robert J. Erhardt, Richard L. Smith
We consider pricing weather derivatives for use as protection against weather extremes. The method described utilizes results from spatial statistics and extreme value theory to fi…
Approximate Bayesian Computing for Spatial Extremes
Robert J. Erhardt, Richard L. Smith
Statistical analysis of max-stable processes used to model spatial extremes has been limited by the difficulty in calculating the joint likelihood function. This precludes all stan…
Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data
Elizabeth C. Mannshardt-Shamseldin, Richard L. Smith, Stephan R. Sain +2
There is substantial empirical and climatological evidence that precipitation extremes have become more extreme during the twentieth century, and that this trend is likely to conti…