A Bayesian analysis of directional data using the projected normal distribution

This paper presents a Bayesian analysis of the projected normal distribution, which is a flexible and useful distribution for the analysis of directional data. We obtain samples from the posterior distribution using the Gibbs sampler after the introduction of suitably chosen latent variables. The procedure is illustrated using simulated data as well as a real data set previously analysed in the literature.

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Year of publication:	2005
Authors:	Nunez-Antonio, Gabriel ; Gutierrez-Pena, Eduardo
Published in:	Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 32.2005, 10, p. 995-1001
Publisher:	Taylor & Francis Journals
Subject:	Circular data \| Gibbs sampler \| latent variables \| radial projection \| spherical data

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005492203