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Infra Distributions and Convex Sets of Distributions
In this post we consider so-called homogeneous ultra distributions which is like a specific type of infra distribution. Instead of having convex set over distributions you have a convex set of what we call contributions and these are measures that can sum up to less than one. It's sort of like our models are containing this like extra facts about these programs like we're imagining like yeah maybe once it runs for infinite time is it gonna output zero or one?