On Sun, Nov 30, 2008 at 9:39 PM, Paul Butler <[EMAIL PROTECTED]> wrote:
> I've been experimenting with probability and found that in Sage, a
> probability space is also a random variable by inheritance. This may be
> useful. Without it, creating a random variable requires two classes: a
> probabil
[Another response in this thread from David Kohel (who maybe should be
posting on list)]
Hi William and Paul,
Actually, I correct myself -- the average should be over the values
of the function, weighted by the probabilities. The domain of the
function (the keys) can be in any set (e.g. "A","B"
Hi David,
Thanks for explaining that, I see how that causes problems when S is not a
set of numbers. Even so, would it make sense for the random variable ps to
be the identity function X(x) = x on the probability space ps? Currently the
random variable ps is the function X(x) = P(x). Is this a use
Hi Paul,
> Thanks for explaining that, I see how that causes problems when S is not a
> set of numbers. Even so, would it make sense for the random variable ps to
> be the identity function X(x) = x on the probability space ps? Currently the
> random variable ps is the function X(x) = P(x). Is th
Hi David,
When I was referring to the "probability space ps" and the "random variable
ps", I was referring to the fact that ps is by inheritance a probability
space and a random variable (is_DiscreteProbabilitySpace(ps) ==
is_DiscreteRandomVariable(ps) == True).
I do see that the values are neces
On Dec 1, 1:48 am, "William Stein" <[EMAIL PROTECTED]> wrote:
> [Another response in this thread from David Kohel (who maybe should be
> posting on list)]
> Actually, I correct myself -- the average should be over the values
> of the function, weighted by the probabilities. The domain of the
>
