An extension of chaotic probability models to real-valued variables

2008-07
Autores
Fierens, Pablo Ignacio
Resumen
"Previous works have presented a frequentist interpretation of sets of measures as probabilistic models which have denominated chaotic models. Those models, however, dealt only 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."