American philosopher who developed Jeffrey conditionalization — Bayesian updating for uncertain observations — and defended radical probabilism, the view that probability is always subjective.
Jeffrey conditionalization: extends Bayesian updating to cases where the observation doesn't make any proposition certain but merely shifts its probability — a more realistic model of learning from experience. Radical probabilism: there are no logical constraints on prior probabilities beyond coherence. The Logic of Decision: decision theory for uncertain beliefs.
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