A Bayesian Analysis of Directional Data Using the von Mises–Fisher Distribution
Gabriel Núñez‐Antonio, Eduardo Gutiérrez‐Peña · Communications in Statistics - Simulation and Computation · 2005
This article presents a Bayesian analysis of the von Mises–Fisher distribution, which is the most important distribution in the analysis of directional data. We obtain samples from the posterior distribution using a sampling-importance-resampling method. The procedure is illustrated using simulated data as well as real data sets previously analyzed in the literature.