Parallel Optimization: Theory, Algorithms and Applications
Parallel Optimization: Theory, Algorithms and Applications
On the optimality of conditional expectation as a Bregman predictor
IEEE Transactions on Information Theory
Proper Scoring Rules, Dominated Forecasts, and Coherence
Decision Analysis
Forecasting with imprecise probabilities
International Journal of Approximate Reasoning
Hi-index | 754.84 |
This paper provides self-contained proof of a theorem relating probabilistic coherence of forecasts to their nondomination by rival forecasts with respect to any proper scoring rule. The theorem recapitulates insights achieved by other investigators, and clarifies the connection of coherence and proper scoring rules to Bregman divergence.