Probabilistic programming languages aid developers performing Bayesian inference. These provide constructs and tools for probabilistic modeling automated Prior work introduced a language, ProbZelus, to extend functionality unbounded streams of data. This demonstrated that the delayed sampling inference algorithm could be extended in streaming context. ProbZelus showed while effectively deployed...

The ability to perform type tests at runtime blurs the line between statically-typed and dynamically-checked languages. Recent developments in Haskell’s type system allow even programs that use reflection to themselves be statically typed, using a type-indexed runtime representation of types called TypeRep. As a result we can build dynamic types as an ordinary, statically-typed library, on top ...

In this paper, we use PCR5 in order to fusion the information of two sources providing subjective probabilities of an event A to occur in the following form: chance that A occurs, indeterminate chance of occurrence of A, chance that A does not occur.