Probabilistic programming

Probabilistic programming (PP) is a programming paradigm based on the declarative specification of probabilistic models, for which inference is performed automatically.^[1] Probabilistic programming attempts 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 following the probabilistic programming paradigm 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

[physorg-1] "Probabilistic programming does in 50 lines of code what used to take thousands". phys.org. April 13, 2015. Retrieved April 13, 2015.

[2] "Probabilistic Programming". probabilistic-programming.org. Archived from the original on January 10, 2016. Retrieved December 24, 2013.

[Pfeffer2014-3] Pfeffer, Avrom (2014), Practical Probabilistic Programming, Manning Publications. p.28. ISBN 978-1 6172-9233-0

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