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Uncertainty Modeling with SymPy Stats

Matthew Rocklin
University of Chicago, Computer Science


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.


Symbolics, mathematical modeling, uncertainty, SymPy

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