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dc.contributor.authorLeisen, F
dc.contributor.authorRossini, L
dc.contributor.authorVilla, C
dc.date.accessioned2020-12-04T11:31:08Z
dc.date.available2020-12-04T11:31:08Z
dc.date.issued2020
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/69049
dc.description.abstractThe Yule-Simon distribution is usually employed in the analysis of frequency data. As the Bayesian literature, so far, ignored this distribution, here we show the derivation of two objective priors for the parameter of the Yule-Simon distribution. In particular, we discuss the Jeffreys prior and a loss-based prior, which has recently appeared in the literature. We illustrate the performance of the derived priors through a simulation study and the analysis of real datasets.en_US
dc.publisherSpringeren_US
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectstat.MEen_US
dc.subjectstat.MEen_US
dc.subjectstat.COen_US
dc.titleObjective Bayesian Analysis of the Yule-Simon Distribution with Applicationsen_US
dc.typeArticleen_US
dc.rights.holder© 2020, The Author(s)
dc.identifier.doi10.1007/s00180-017-0735-1
pubs.author-urlhttp://arxiv.org/abs/1604.05661v1en_US
pubs.notesNot knownen_US
pubs.publisher-urlhttp://dx.doi.org/10.1007/s00180-017-0735-1en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's license is described as This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.