If we consider the Brier score (B) in the context of the signal detection theory and assume that it makes sense to consider the existence of B as a parameter for the population (let B̄ be this B), and if we assume that the calibration in the observer's probability estimate is perfect, we find that there is a theoretical relationship between B̄ and the area under the binormal receiver operating characteristic (ROC) curve, AZ. We have derived this theoretical functional relationship between B and AZ, by using the parameter a and b in the binormal ROC model and the prior probability of signal events (α); here, the two underlying normal distributions are Nμs,σs and Nμn,σn; and, a = (μs - μn)/σs and b = σn/σs. We empirically found that, if parameters b and α are constant, B̄ values in relation to given AZ values monotonically decrease as AZ values increase, and these relationship curves have monotonically decreasing slopes. © 2002 Elsevier Science Ireland Ltd. All rights reserved.
CITATION STYLE
Ikeda, M., Ishigaki, T., & Yamauchi, K. (2002). Relationship between Brier score and area under the binormal ROC curve. Computer Methods and Programs in Biomedicine, 67(3), 187–194. https://doi.org/10.1016/S0169-2607(01)00157-2
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