Hierarchical Bayesian Bradley–Terry for applications in Major League Baseball

dc.contributor.authorPhelan, G. C.
dc.contributor.authorWhelan, J. T.
dc.coverage.issue1cs
dc.coverage.volume7cs
dc.date.accessioned2019-01-02T13:23:44Z
dc.date.available2019-01-02T13:23:44Z
dc.date.issued2018cs
dc.description.abstractA common problem faced in statistical inference is drawing conclusions from paired comparisons, in which two objects compete and one is declared the victor. A probabilistic approach to such a problem is the Bradley–Terry model [5, 20], first studied by Zermelo in 1929 and rediscovered by Bradley and Terry in 1952. One obvious area of application for such a model is sporting events, and in particular Major League Baseball. With this in mind, we describe a hierarchical Bayesian version of Bradley–Terry suitable for use in ranking and prediction problems, and compare results from these application domains to standard maximum likelihood approaches. Our Bayesian methods outperform the MLE-based analogues, while being simple to construct, implement, and interpret.en
dc.formattextcs
dc.format.extent71-84cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMathematics for Applications. 2018 vol. 7, č. 1, s. 71-84. ISSN 1805-3629cs
dc.identifier.doi10.13164/ma.2018.07en
dc.identifier.issn1805-3629
dc.identifier.urihttp://hdl.handle.net/11012/137270
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematikycs
dc.relation.ispartofMathematics for Applicationsen
dc.relation.urihttp://ma.fme.vutbr.cz/archiv/7_1/ma_7_1_7_phelan_whelan_final.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematikycs
dc.rights.accessopenAccessen
dc.subjectBayesian inference, Major League Baseball, MCMC, probabilistic modelingen
dc.titleHierarchical Bayesian Bradley–Terry for applications in Major League Baseballen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentÚstav matematikycs
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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