mlsanityData to 14 Oct 2026

Universal Approximation on the Hypersphere

arXiv 2004.06328 ↗First posted 14 Apr 2020math.ST stat.ME stat.THcited by 1

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Abstract (arXiv)

It is well known that any continuous probability density function on ℝm can be approximated arbitrarily well by a finite mixture of normal distributions, provided that the number of mixture components is sufficiently large. The von-Mises-Fisher distribution, defined on the unit hypersphere Sm in ℝm+1, has properties that are analogous to those of the multivariate normal on ℝm+1. We prove that any continuous probability density function on Sm can be approximated to arbitrary degrees of accuracy by a finite mixture of von-Mises-Fisher distributions.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 14 Apr 2020.

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