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Von Mises-Fisher Distribution 📂Probability Distribution

Von Mises-Fisher Distribution

Definition 1

The Von Mises-Fisher Distribution is defined as the multivariate distribution $\text{vMF}_{p} \left( \mu , \kappa \right)$ with the following probability density function for Unique Mode $\mu \in S^{p-1}$ and Concentration $\kappa > 0$. $$ f \left( \mathbf{x} \right) = \left( {{ \kappa } \over { 2 }} \right)^{p/2-1} {{ 1 } \over { \Gamma \left( p/2 \right) I_{p/2-1} \left( \kappa \right) }} \exp \left( \kappa \mu^{T} \mathbf{x} \right) \qquad , \mathbf{x} \in S^{p-1} $$


Explanation

The Von Mises-Fisher Distribution is called the Von Mises Distribution when $p=2$ and Fisher Distribution when $p=3$. Similar to how the Von Mises Distribution is the normal distribution on the circle, the Fisher Distribution becomes the multivariate normal distribution on the sphere, and although generalizing to $p > 3$ is geometrically hard to imagine, it still holds a similar meaning.

When talking about the normal distribution in Directional Statistics, the Von Mises-Fisher Distribution naturally comes to mind first. The Fisher Distribution, meaning $p=3$, is the normal distribution on the sphere, making it easy to conceive its utility in planetary-scale research, especially that involving Earth.


  1. Kim. (2019). Small sphere distributions for directional data with application to medical imaging. https://doi.org/10.1111/sjos.12381 ↩︎