54 citations · 79 across the 3 of their papers we have counts for
5 papers
Multivariate discrete copulas, with applications in probabilistic weather forecasting
Roman Schefzik
In probability and statistics, copulas play important roles theoretically as well as to address a wide range of problems in various application areas. We introduce the concept of m…
Combining low-dimensional ensemble postprocessing with reordering methods
Roman Schefzik
State-of-the-art weather forecasts usually rely on ensemble prediction systems, accounting for the different sources of uncertainty. As ensembles are typically uncalibrated, they s…
A similarity-based implementation of the Schaake shuffle
Roman Schefzik
Contemporary weather forecasts are typically based on ensemble prediction systems, which consist of multiple runs of numerical weather prediction models that vary with respect to i…
Ensemble Copula Coupling as a Multivariate Discrete Copula Approach
Roman Schefzik
In probability and statistics, copulas play important roles theoretically as well as to address a wide range of problems in various application areas. In this paper, we introduce t…
Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling
Roman Schefzik, Thordis L. Thorarinsdottir, Tilmann Gneiting
Critical decisions frequently rely on high-dimensional output from complex computer simulation models that show intricate cross-variable, spatial and temporal dependence structures…