Coming Together of Bayesian Inference and Skew Spherical Data

Coming Together of Bayesian Inference and Skew Spherical Data

This paper presents Bayesian directional data modeling via the skew-rotationally-symmetric Fisher-von Mises-Langevin (FvML) distribution. The prior distributions for the parameters are a pivotal building block in Bayesian analysis, therefore, the impact of the proposed priors will be quantified usin...

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Bibliographic Details
Main Authors: Najmeh Nakhaei Rad, Andriette Bekker, Mohammad Arashi, Christophe Ley
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Big Data
Subjects:
Fisher-von Mises-Langevin distribution
Gibbs sampling
MCMC method
skew-rotationally-symmetric distributions
slice sampler
spherical data
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2021.769726/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2021.769726/full

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