Probabilistic coherence and proper scoring rules
Joel Predd, Robert Seiringer, Elliott H. Lieb, Daniel Osherson,, Vincent Poor, Sanjeev Kulkarni

TL;DR
This paper proves a new theorem linking probabilistic coherence of forecasts to their optimality under proper scoring rules, enhancing understanding of forecast evaluation.
Contribution
It provides a self-contained proof of a novel theorem connecting probabilistic coherence with non-domination under proper scoring rules.
Findings
The theorem establishes a fundamental link between coherence and scoring rule optimality.
It clarifies the theoretical foundations of forecast evaluation.
The proof is self-contained and relates to existing results in the literature.
Abstract
We provide self-contained proof of a theorem relating probabilistic coherence of forecasts to their non-domination by rival forecasts with respect to any proper scoring rule. The theorem appears to be new but is closely related to results achieved by other investigators.
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