An extension of chaotic probability models to real-valued variables
This paper focuses on a frequentist interpretation of sets of measures as probability models, which have been called chaotic probability models. Previous models dealt with sets of probability measures on finite algebras, that is, probability measures which can be related to variables with a finite number of possible values. In this paper, an extension of chaotic models is proposed in order to deal with the more general case of real-valued variables.
scientific article; zbMATH DE number 5690156