Admissible Scoring Systems for Continuous Distributions,

摘要

The use of admissible scoring systems as a measure of probabilistic forecasts is becoming increasingly well-known in those cases where the forecast is a discrete distribution over a finite number of alternatives. The defining property of an admissible scoring system is that any individual perceives himself as maximizing his expected score by reporting his true subjective distribution.