Coming together of Bayesian inference and skew spherical data

dc.contributor.authorNakhaei Rad, Najmeh
dc.contributor.authorBekker, Andriette, 1958-
dc.contributor.authorArashi, Mohammad
dc.contributor.authorLey, Christophe
dc.date.accessioned2022-07-25T08:48:11Z
dc.date.available2022-07-25T08:48:11Z
dc.date.issued2022-02-08
dc.description.abstractThis 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 using the Wasserstein Impact Measure (WIM) to guide the practitioner in the implementation process. For the computation of the posterior, modifications of Gibbs and slice samplings are applied for generating samples. We demonstrate the applicability of our contribution via synthetic and real data analyses. Our investigation paves the way for Bayesian analysis of skew circular and spherical data.en_US
dc.description.departmentStatisticsen_US
dc.description.librariandm2022en_US
dc.description.sponsorshipThe Visiting Professor programme, University of Pretoria and the National Research Foundation (NRF) of South Africa, SARChI Research Chair and DSINRF Centre of Excellence in Mathematical and Statistical Sciences (CoE-MaSS), South Africa.en_US
dc.description.urihttps://www.frontiersin.org/journals/big-dataen_US
dc.identifier.citationNakhaei Rad N, Bekker A, Arashi M and Ley C (2022) Coming Together of Bayesian Inference and Skew Spherical Data. Frontiers in Big Data 4:769726. doi: 10.3389/fdata.2021.769726.en_US
dc.identifier.issn2624-909X (online)
dc.identifier.other10.3389/fdata.2021.769726
dc.identifier.urihttps://repository.up.ac.za/handle/2263/86420
dc.language.isoenen_US
dc.publisherFrontiers Media S.A.en_US
dc.rights© 2022 Nakhaei Rad, Bekker, Arashi and Ley. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).en_US
dc.subjectFisher-von Mises-Langevin distributionen_US
dc.subjectGibbs samplingen_US
dc.subjectSkew-rotationally-symmetric distributionsen_US
dc.subjectSlice sampleren_US
dc.subjectSpherical dataen_US
dc.subjectWasserstein Impact Measureen_US
dc.subjectWasserstein impact measure (WIM)en_US
dc.subjectMarkov chain Monte Carlo (MCMC)en_US
dc.titleComing together of Bayesian inference and skew spherical dataen_US
dc.typeArticleen_US

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