2 citations · 5 across the 6 of their papers we have counts for
6 papers
Assessing Monotone Dependence: Area Under the Curve Meets Rank Correlation
Eva-Maria Walz, Andreas Eberl, Tilmann Gneiting
The assessment of monotone dependence between random variables is a classical problem in statistics and a gamut of application domains. Consequently, researchers have sought measur…
Probabilistic measures afford fair comparisons of AIWP and NWP model output
Tilmann Gneiting, Tobias Biegert, Kristof Kraus +3
We introduce a new measure for fair and meaningful comparisons of single-valued output from artificial intelligence based weather prediction (AIWP) and numerical weather prediction…
Physics-based vs. data-driven 24-hour probabilistic forecasts of precipitation for northern tropical Africa
Eva-Maria Walz, Peter Knippertz, Andreas H. Fink +2
Numerical weather prediction (NWP) models struggle to skillfully predict tropical precipitation occurrence and amount, calling for alternative approaches. For instance, it has been…
Decompositions of the mean continuous ranked probability score
Sebastian Arnold, Eva-Maria Walz, Johanna Ziegel +1
The continuous ranked probability score (crps) is the most commonly used scoring rule in the evaluation of probabilistic forecasts for real-valued outcomes. To assess and rank fore…
Easy Uncertainty Quantification (EasyUQ): Generating Predictive Distributions from Single-valued Model Output
Eva-Maria Walz, Alexander Henzi, Johanna Ziegel +1
How can we quantify uncertainty if our favorite computational tool - be it a numerical, a statistical, or a machine learning approach, or just any computer model - provides single-…
Receiver operating characteristic (ROC) movies, universal ROC (UROC) curves, and coefficient of predictive ability (CPA)
Tilmann Gneiting, Eva-Maria Walz
Throughout science and technology, receiver operating characteristic (ROC) curves and associated area under the curve (AUC) measures constitute powerful tools for assessing the pre…