Moments of von Mises and Fisher distributions and applications

Thomas Hillen, Kevin J Painter, Amanda C. Swan, Albert D. Murtha

Research output: Contribution to journalArticle

9 Citations (Scopus)
38 Downloads (Pure)

Abstract

The von Mises and Fisher distributions are spherical analogues to the Normal distribution on the unit circle and unit sphere, respectively. The computation of their moments, and in particular the second moment, usually involves solving tedious trigonometric integrals. Here we present a new method to compute the moments of spherical distributions, based on the divergence theorem. This method allows a clear derivation of the second moments and can be easily generalized to higher dimensions. In particular we note that, to our knowledge, the variance-covariance matrix of the three dimensional Fisher distribution has not previously been explicitly computed. While the emphasis of this paper lies in calculating the moments of spherical distributions, their usefulness is motivated by their relationship to population statistics in animal/cell movement models and demonstrated in applications to the modelling of sea turtle navigation, wolf movement and brain tumour growth.
Original languageEnglish
Pages (from-to)673-694
Number of pages22
JournalMathematical Biosciences and Engineering
Volume14
Issue number3
Early online date1 Dec 2016
DOIs
Publication statusPublished - Jun 2017

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