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Published 20 hours ago • verified publisher icon JuliaStats

Give UnivariateKDE distribution-like overloads

Open ChrisRackauckas opened this issue 3 years ago • 2 comments

Upstreams https://github.com/SciML/DiffEqUncertainty.jl/pull/41 . Allows for it to be "distribution-like". Still missing the random sampling.

ChrisRackauckas avatar Jan 06 '21 15:01 ChrisRackauckas

Any status update on getting this PR merged?

agerlach avatar May 04 '21 16:05 agerlach

Is it actually guaranteed that the the support is zero outside the extrema of x? I would have to look at the code, but I don't think it holds in general. Eg for a Normal kernel (which is the default), the support is the real line. x are just the points where it is precalculated.

tpapp avatar May 05 '21 06:05 tpapp