Understanding probabilistic programs

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Abstract

We present two views of probabilistic programs and their relationship. An operational interpretation as well as a weakest precondition semantics are provided for an elementary probabilistic guarded command language. Our study treats important features such as sampling, conditioning, loop divergence, and non-determinism.

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Katoen, J. P., Gretz, F., Jansen, N., Kaminski, B. L., & Olmedo, F. (2015). Understanding probabilistic programs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9360 LNCS, pp. 15–32). Springer Verlag. https://doi.org/10.1007/978-3-319-23506-6_4

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