A Kolmogorov Consistency Theorem in the Multiple Probabilities Setting
Abstract
We consider a system of weak* closed sets of finite-dimensional distributions. We show that a corresponding system of random variables can be defined on a probability space with a probability measure determined up to some set of measures, provided that the sets of finite-dimensional distributions are consistent.
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