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May 24, 2018 at 12:38 comment added Quartz I meant that the boundary issue is a problem with implementing properly Poisson Ball sampling, additional to the avoidance of balls among themselves; somehow the two distances - radial and orthogonal - don't mix well together. QMC simply focuses on orthogonal well-distribution which by itself can grant some degree of "diagonal" well-distribution, some (but not the simplest) methods further avoid diagonal clumping by more coherent means. Consider e.g. random points each in a different grid's cell: 2 neighbors might still risk vicinity, as a set there's uniform distribution and good avoidance.
Jul 22, 2016 at 15:10 comment added g g Interesting! How does QMC bypass the fact that most of the hypercube volume is near the boundary? And why does Poisson Sphere(or Ball?) sampling fail in this respect? Do you have a reference for this?
Jul 19, 2016 at 11:47 history answered Quartz CC BY-SA 3.0