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Uncertainty Modeling with SymPy Stats

Matthew Rocklin
University of Chicago, Computer Science

Abstract

We add a random variable type to a mathematical modeling language. We demonstrate through examples how this is a highly separable way to introduce uncertainty and produce and query stochastic models. We motivate the use of symbolics and thin compilers in scientific computing.

Keywords

Symbolics, mathematical modeling, uncertainty, SymPy

Bibtex entry

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