Choquet risk ranks valid possibilistic inferential models by linking their efficiency to expected performance of induced confidence sets under concentration penalties.
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SSLA approximates the posterior predictive distribution by refitting Bayesian models on self-predicted data, yielding a deterministic uncertainty measure that outperforms standard Laplace approximations in calibration on regression tasks.
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Efficiency of Valid Inferential Models: Choquet-risk Optimal Possibility Measures, and Direct Comparisons
Choquet risk ranks valid possibilistic inferential models by linking their efficiency to expected performance of induced confidence sets under concentration penalties.