Comment #1 on issue 4109 by [email protected]: Binomial probability
density doesn't work
http://code.google.com/p/sympy/issues/detail?id=4109
I am unable to reproduce this error with your script on my machine with the
git development version.
However the underlying issue is genuine; BinomialDistribution depends on
explicit computation of binomial coefficients to produce the probability
density function. I'm not sure that there is a clear way around this.
You should be able to create these variables with symbolic inputs. You
can't compute quanitites that rely on their densities without having
explicit numbers.
This limitation should only extend to the finite variable types (like
bernoulli and binomial) which depend on explicit counting. Continuous
variables (like normal/uniform) and discrete/infinite variables (like
Poisson) should not suffer from this issue.
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