Abstract
We describe a universal conditional distribution method for uniform sampling from n -spheres and n -balls, based on properties of a family of radially symmetric multivariate distributions. The method provides us with a unifying view on several known algorithms as well as enabling us to construct novel variants. We give a numerical comparison of the known and newly proposed algorithms for dimensions 5, 6 and 7.
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