# User Portlet

Michael Kilburn
Discussions
It is correct, but I must point out that actual amount of underlying computations is minuscule -- we are talking about probability mass function of discrete variable in a very small range ([0, 100] tops). That distribution is defined by array of...
Doesn't work very well with TransformedDistribution unfortunately: p := DiscreteUniformDistribution[{1,6}] p1 := TransformedDistribution[a + b, {a\[Distributed]p, b\[Distributed]p}] Quantile[p1, {0, 1}] result: ...
Yes, that suggestion seems to boil down to "use different class of identifiers and this will guarantee absence of name collisions". Unfortunately it is not going to work in more generic case of formulas/functions with multiple nesting levels.
(After checking first few pages) I think this is exactly what I need. Thank you very much!