Hi. > Well, the exponential, chi^2 and Maxwell-Boltzman distributions are all > specializations of the gamma distribution. > > If you working on a Monte-carlo estimate where the parameters of your chi^2 > distribution vary according to a hyper-distribution, then it would be nice > to implement the chi^2 distribution by changing the getter's for the two > parameters of the Gamma distribution to get the specialized values. Then it > would be nice to implement the generalized hyper-distributed chi^2 by > over-riding the getters for the parameters of the chi^2 distribution to > sample from the hyper-distribution. > > If you use getters throughout, then chi^2 is nearly a one-liner, the > hyper-distributed chi^2 is another one-liner. The JIT will optimize away > all of the abstractions and give a result that is as fast as any other > implementation.
Sorry, I don't follow you. Could you give a code example of these one-liners? > [...] Thanks, Gilles --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
