activity
20152026
most citedWeighted verification tools to evaluate univariate and multivariate forecasts for high-impact weather events

2 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing math.STShow all

8 papers · 1 filter

math.ST2026

Survival Isotonic Distributional Regression

Martin Bladt, Alexander Henzi, Bram van den Heuvel +1

We introduce Survival-IDR (S-IDR), a nonparametric estimator of conditional survival distributions under order restrictions, extending Isotonic Distributional Regression (IDR; Henz…

math.ST2025

T-calibration in semi-parametric models

Anja Mühlemann, Johanna Ziegel

This note relates the calibration of models to the consistent loss functions for the target functional of the model. We demonstrate that a model is calibrated if and only if there…

math.ST2023

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…

math.ST2021

Isotonic regression for functionals of elicitation complexity greater than one

Anja Mühlemann, Johanna F. Ziegel

We study the non-parametric isotonic regression problem for bivariate elicitable functionals that are given as an elicitable univariate functional and its Bayes risk. Prominent exa…

math.ST2019

Optimal solutions to the isotonic regression problem

Alexander I. Jordan, Anja Mühlemann, Johanna F. Ziegel

In general, the solution to a regression problem is the minimizer of a given loss criterion, and depends on the specified loss function. The nonparametric isotonic regression probl…

math.ST2019

Supplement to "Erratum: Higher Order Elicitability and Osband's Principle"

Tobias Fissler, Johanna F. Ziegel

This note corrects conditions in Proposition 3.4 and Theorem 5.2(ii) and comments on imprecisions in Propositions 4.2 and 4.4 in Fissler and Ziegel (2016).