Overview: Provides a frequentist semantics for conditionalization on partially known events.Analyzes the resulting partial conditionalization with respect to partitions, segmentation, independence, chaining, anThis book provides a frequentist semantics for conditionalization on partially known events, which is given as a straightforward generalization of classical conditional probability via so-called probability testbeds. It analyzes the resulting partial conditionalization, called frequentist partial (F.P.) conditionalization, from different angles, i.e., with respect to partitions, segmenta
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