Declarative Probabilistic Programming with Datalog

ACM Trans. Database Syst., Volume 42, Issue 4, 2017, Pages 22:1-22:35.

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Abstract:

Probabilistic programming languages are used for developing statistical models. They typically consist of two components: a specification of a stochastic process (the prior) and a specification of observations that restrict the probability space to a conditional subspace (the posterior). Use cases of such formalisms include the developmen...More

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