Repository URL:
http://philsci-archive.pitt.edu/id/eprint/9842
Author(s):
Belot, Gordon
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preprint description
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, failure of calibration is typical and calibration rare. Meanwhile, Bayesian forecasters are certain that they are calibrated---this invites worries about the connection between Bayesianism and rationality.

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