What is Probabilistic Programming?

The idea behind Probabilistic programming to bring the inference algorithms and theory from statistics combined with formal semantics, compilers, and other tools from programming languages to build efficient inference evaluators for models and applications from Machine Learning. In other words, probabilistic programming is a tool for statistical modeling. The idea is to borrow lessons from the world of programming languages and apply them to the problems of designing and using statistical models.

Probabilistic programming is about doing statistics using the tools of computer science.

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