Comments on: Generating Random Points from Arbitrary Distributions for 2D and Up

By: herman.tulleken

herman.tulleken — Thu, 27 Jan 2011 22:31:23 +0000

It is a two step process. You use your random number to look up into c. This gives you two things – first, the x-coordinate of the random point, and second, a way to calculate an index. This index determines which cy to use. You use your second random number to do a lookup in this array, and this gives you the y-coordinate of the point.

By: Giorgos

Giorgos — Wed, 26 Jan 2011 01:27:57 +0000

I tried to implement this idea but I must be missing something. The cy and cx arrays contain the Inverrse cumulative distributions describing the number of points that one want to generate for each cell. I do not understand how looking up into these arrays return real x and y coordinates?

By: code-spot · Generating Random Integers With Arbitrary Probabilities

code-spot · Generating Random Integers With Arbitrary Probabilities — Tue, 28 Apr 2009 08:22:57 +0000

[...] written about generating random numbers (floats) with arbitrary distributions for one dimension and higher dimensions, and indeed that method can be adapted for generating integers with specific probabilities. [...]

By: code-spot · Estimating a Continuous Distribution from a Sample Set

code-spot · Estimating a Continuous Distribution from a Sample Set — Wed, 15 Apr 2009 14:28:53 +0000

[...] test your distribution by generating a random set from it, and comparing it with the original sample. They should match [...]