On Jun 24, 2:39 am, Robert Dodier <[email protected]> wrote: > For what it's worth, bear in mind that the distinction of > continuous vs discrete distributions isn't mathematically > fundamental; it's easy to come up with distributions which > are neither continuous nor discrete. E.g. mixtures of > discrete and continuous distributions, and distributions on > "exotic" sets such as a Cantor set or other fractal.
Well, this is what I meant by measures. I guess it would be easy to have an "other" category at a later date. But the Haar measure on the real line is a nice object, and discrete has a good definition too. Having this distinction would at least be helpful in starting out with such classes. > I suggest that as you try to roll in the symbolic stuff > for each distribution; e.g. the function to compute the > density returns a symbolic expression if it doesn't > evaluate to a number. That is a very good idea. We even have (or should have soon) a symbolic erf for the normal distribution, to start things off... - kcrisman -- To post to this group, send an email to [email protected] To unsubscribe from this group, send an email to [email protected] For more options, visit this group at http://groups.google.com/group/sage-devel URL: http://www.sagemath.org
