activity
20192026
most citedDecompositions of the mean continuous ranked probability score

2 citations · 5 across the 3 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Betting on Bets: Anytime-Valid Tests for Stochastic Dominance

Sebastian Arnold, Yo Joong Choe, Marco Scarsini +1

How can we monitor, in real time, whether one uncertain prospect has any upside over another? To answer this question, we develop a novel family of sequential, anytime-valid tests…

stat.ME2024

Sequential model confidence sets

Sebastian Arnold, Georgios Gavrilopoulos, Benedikt Schulz +1

In most prediction and estimation situations, scientists consider various statistical models for the same problem, and naturally want to select amongst the best. Hansen et al. (201…

stat.ME2023★ 2 cited

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…

math.ST2023★ 1 cited

Isotonic conditional laws

Sebastian Arnold, Johanna Ziegel

We introduce isotonic conditional laws (ICL) which extend the classical notion of conditional laws by the additional requirement that there exists an isotonic relationship between…

stat.ME2021★ 2 cited

Sequentially valid tests for forecast calibration

Sebastian Arnold, Alexander Henzi, Johanna F. Ziegel

Forecasting and forecast evaluation are inherently sequential tasks. Predictions are often issued on a regular basis, such as every hour, day, or month, and their quality is monito…

math.PR2019

Bivariate distributions with ordered marginals

Sebastian Arnold, Ilya Molchanov, Johanna F. Ziegel

This paper provides a characterization of all possible dependency structures between two stochastically ordered random variables. The answer is given in terms of copulas that are c…