In this paper we conclude a two-part analysis of recent work of Jean Goubault-Larrecq and Daniele Varacca, who devised a model of continuous random variables over bounded complete domains. Their presentation leaves out many details, and also misses some motivations for their construction. In this and a related paper we attempt to fill in some of these details, and in the process, we discover a flaw in the model they built. Our earlier paper showed how to construct ωProb(A∞), the bounded complete algebraic domain of thin probability measures over A ∞ , the monoid of finite and infinite words over a finite alphabet A. In this second paper, we apply our earlier results to construct ωRVA∞(D), the bounded complete domain of continuous random variables defined on supports of thin probability measures on A ∞ with values in a bounded complete domain D, and we show D → ωRVA∞(D) is the object map of a monad. In the case A = {0, 1}, our construction yields the domain of continuous random variables over bounded complete domains devised by Goubault- Larrecq and Varacca. However, we also show that the Kleisli extension h RVA∞(D) → ωRV(E) of a Scott-continuous map h: D → E is not Scott continuous, so the construction does not yield a monad on BCD, the category of bounded complete domains and Scott-continuous maps. We leave the question of whether the construction can be rescued as an open problem. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Mislove, M. (2013). Anatomy of a Domain of Continuous Random Variables II. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7860 LNCS, 225–245. https://doi.org/10.1007/978-3-642-38164-5_16
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