Matrix-variate beta generator - developments and application

dc.contributor.authorVan Niekerk, Janet
dc.contributor.authorBekker, Andriette, 1958-
dc.contributor.authorArashi, Mohammad
dc.contributor.emailjanet.vanniekerk@up.ac.zaen_US
dc.date.accessioned2022-08-30T12:23:56Z
dc.date.available2022-08-30T12:23:56Z
dc.date.issued2021-04-03
dc.description.abstractMatrix-variate beta distributions are applied in di erent fields of hypothesis testing, multivariate correlation analysis, zero regression, canonical correlation analysis and etc. Amethodology is proposed to generate matrix-variate beta generator distributions by combining the matrix-variate beta kernel with an unknown function of the trace operator. Several statistical characteristics, extensions and developments are presented. Special members are then used in a univariate and multivariate Bayesian analysis setting. These models are fitted to simulated and real datasets, and their fitting and performance are compared to well-established competitors.en_US
dc.description.departmentStatisticsen_US
dc.description.librarianam2022en_US
dc.description.sponsorshipThe National Research Foundation of South Africaen_US
dc.description.urihttps://jirss.irstat.iren_US
dc.identifier.citationVan Niekerk, J., Bekker, A. & Arasji, M. 2021, 'Matrix-variate beta generator - developments and application', JIRSS Journal of the Iranian Statistical Society, vol. 20, no. 1, pp. 289-306, doi : 10.52547/jirss.20.1.289.en_US
dc.identifier.issn1726-4057 (print)
dc.identifier.issn2538-189X (online)
dc.identifier.other10.52547/jirss.20.1.289
dc.identifier.urihttps://repository.up.ac.za/handle/2263/87008
dc.language.isoenen_US
dc.publisherIranian Statistical Societyen_US
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial 3.0.en_US
dc.subjectBayesian analysisen_US
dc.subjectBinomialen_US
dc.subjectEigenvaluesen_US
dc.subjectGaussian sampleen_US
dc.subjectGibbs samplingen_US
dc.subjectMatrix-variate betaen_US
dc.titleMatrix-variate beta generator - developments and applicationen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
VanNiekerk_Matrixvariate_2021.pdf
Size:
887.7 KB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: