Proper scoring rules for estimation and forecast evaluation

Kartik Waghmare; Johanna Ziegel

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arXiv · 2504.01781

Proper scoring rules for estimation and forecast evaluation

Kartik Waghmare·Johanna Ziegel

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Abstract

Proper scoring rules have been a subject of growing interest in recent years, not only as tools for evaluation of probabilistic forecasts but also as methods for estimating probability distributions. In this article, we review the mathematical foundations of proper scoring rules including general characterization results and important families of scoring rules. We discuss their role in statistics and machine learning for estimation and forecast evaluation. Furthermore, we comment on interesting developments of their usage in applications.

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Kartik Waghmare, Johanna Ziegel. 2025-04-02. Proper scoring rules for estimation and forecast evaluation. https://arxiv.org/abs/2504.01781

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