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Probabilistic programming (PP) is a programming paradigm in which probabilistic models are specified and inference for these models is performed automatically.[1] It represents an attempt to unify probabilistic modeling and traditional general purpose programming in order to make the former easier and more widely applicable.[2][3] It can be used to create systems that help make decisions in the face of uncertainty.
Programming languages used for probabilistic programming are referred to as "probabilistic programming languages" (PPLs).
- ^ "Probabilistic programming does in 50 lines of code what used to take thousands". phys.org. April 13, 2015. Retrieved April 13, 2015.
- ^ "Probabilistic Programming". probabilistic-programming.org. Archived from the original on January 10, 2016. Retrieved December 24, 2013.
- ^ Pfeffer, Avrom (2014), Practical Probabilistic Programming, Manning Publications. p.28. ISBN 978-1 6172-9233-0