The Brier score is a proper scoring rule for binary events.
布里尔分数是一种用于二元事件的适当评分规则。
In probabilistic forecasting, using a proper scoring rule encourages honest reporting because the expected score is maximized by the forecaster’s true belief.
在概率预测中,使用适当评分规则会鼓励诚实报告,因为在期望意义下,预测者用真实信念给出的预测能使得分最大化。
Gneiting, T. & Raftery, A. E. (2007). Strictly Proper Scoring Rules, Prediction, and Estimation. Journal of the American Statistical Association(系统综述与经典引用来源)
Winkler, R. L. (1996). Scoring Rules and the Evaluation of Probability Assessors. Journal of the American Statistical Association(早期重要讨论之一)
Dawid, A. P. (2007). The Geometry of Proper Scoring Rules. Annals of the Institute of Statistical Mathematics(从几何与理论角度阐释 proper scoring rules)
Jolliffe, I. T. & Stephenson, D. B. (eds.). Forecast Verification: A Practitioner’s Guide in Atmospheric Science(在预测验证领域中广泛使用并介绍相关概念)