Re: [math] Distributions over sample spaces other than R

2011-11-05 Thread cwinter
Hi, I'm picking up the discussion on the interface structure for distributions again. Now there is consensus on having separate roots for each domain: one for real-valued distributions and one for integer distributions. After thinking once more about distributions with densities vs. those withou

Re: [math] Distributions over sample spaces other than R

2011-10-31 Thread cwinter
Phil Steitz wrote: > > Maybe it would be best to eliminate IntegerDistribution then and > merge Distribution and ContinuousDistribution, so we have two roots > - DiscreteDistribution and ContinuousDistribution. The only reason > really to have DiscreteDistribution is if we want to support > dis

Re: [math] Distributions over sample spaces other than R

2011-10-29 Thread cwinter
Phil Steitz wrote: > > I would say pull DiscreteDistribution out. That is where the > difference really lies. I have thought about suggesting that we > eliminate it altogether; but I still think there may be value in > supporting discrete distributions over sample spaces that are not > embedded

Re: [math] Distributions over sample spaces other than R

2011-10-29 Thread cwinter
cwinter wrote: > > [...] Regarding IntergerDistribution I don't have a preference on leaving > it in the current hierarchy or making it to a new root. > > Christian > Just now, while pulling inverseCumulativeProbability form ContinuousDistribution up to Distribution

Re: [math] Continuous Distribution

2011-10-29 Thread cwinter
Phil Steitz wrote: > > On 10/28/11 9:31 PM, Sébastien Brisard wrote: >> Hi, >> The following question might sound stupid, but occured to me while >> thinking about MATH-692. So here goes. What was initially meant by >> "Continuous Distribution" (as in AbstractContinuousDistribution) ? >> My view

Re: [math] Distributions over sample spaces other than R

2011-10-25 Thread cwinter
Phil Steitz wrote: > > The one exception is our own IntegerDistribution, which is arguably > being forced into an unnatural structure because its sample space is > being artificially extended to R. I am not sure how unnatural it > would be to just have the probability functions take a class > pa