A Bayesian analysis of directional data using the projected normal distribution
Gabriel Nunez-Antonio and
Eduardo Gutierrez-Pena
Journal of Applied Statistics, 2005, vol. 32, issue 10, 995-1001
Abstract:
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.
Keywords: Circular data; Gibbs sampler; latent variables; radial projection; spherical data (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:32:y:2005:i:10:p:995-1001
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DOI: 10.1080/02664760500164886
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