On Sun, Nov 1, 2009 at 10:55 PM, David Cournapeau <da...@ar.media.kyoto-u.ac.jp> wrote: > josef.p...@gmail.com wrote: >> >> array([ Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf]) >> >> might actually be the right answer if you want a uniform distribution >> on the real line. > > Does it make sense to define a uniform random variable whose range is > the extended real line ? It would not have a distribution w.r.t the > Lebesgue measure, right ? > > I must confess I am quickly lost in the maths in statistics, though,
No, it wouldn't be a proper distribution. However in Bayesian analysis it is used as an improper (diffuse) prior, which often replicates frequentists results. But it's a theoretical derivation, I don't think anyone tries to simulate this. To simulate huge uniform integers, I think it should be possible to use the floating point random numbers and rescale and round them. Josef > > David > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
