Construct · 1 fields · 1 citations
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In forecasting, proper scoring rule refers to a rule for grading probability forecasts that rewards forecasters most when they report their true beliefs. This meaning comes from Gneiting (2007) in Journal of the American Statistical Association.[1]
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