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Schervish (1985b) showed that every forecasting system is noncalibrated for uncountably many data sequences that it might see. This result is strengthened here: from a topological point of view, failu...
Objective Bayesian calibration and the problem of non-convex evidence
Objective Bayesian epistemology convex sets imprecise probabilities
2016/5/31
Jon Williamson's Objective Bayesian Epistemology relies upon a calibration norm to constrain credal probability by both quantitative and qualitative evidence. One role of the calibration norm is to en...
Climate Models,Calibration and Confirmation
confirmation calibration tuning double-counting climate science Bayesianism
2016/5/31
We argue that concerns about double-counting -- using the same evidence both to calibrate or tune climate models and also to confirm or verify that the models are adequate --deserve more careful scrut...
Abner Shimony (1988) argues that degrees of belief satisfy the axioms of probability because their epistemic goal is to match estimates of objective probabilities. Because the estimates obey the axiom...