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Totality, Regularity, and Cardinality in Probability Theory

2023/12/01 by Paolo Mancosu, Pietro Mancosu, Guillaume Massas · 1 citation
Mathematics · Computer Science · Arts and Humanities · #Mathematical and Theoretical Analysis #Bayesian Modeling and Causal Inference #Epistemology, Ethics, and Metaphysics

paper · pdf · doi:10.1017/psa.2023.159

Abstract

Abstract Recent developments in generalized probability theory have renewed a debate about whether regularity (i.e., the constraint that only logical contradictions get assigned probability 0 ) should be a necessary feature of both chances and credences. Crucial to this debate, however, are some mathematical facts regarding the interplay between the existence of regular generalized probability measures and various cardinality assumptions. We improve on several known results in the literature regarding the existence of regular generalized probability measures. In particular, we give necessary and sufficient conditions for the existence of regular generalized probability measures defined on the whole powerset of any sample space.

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