A finite mixture latent trajectory model for modeling ultrarunners' behavior in a 24-hour race

DC FieldValueLanguage
dc.contributor.authorBartolucci, Francesco
dc.contributor.authorMurphy, Thomas Brendan
dc.date.accessioned2015-08-26T11:47:09Z
dc.date.available2016-07-15T01:00:08Z
dc.date.issued2015-12
dc.identifier.citationJournal of Quantitative Analysis in Sportsen
dc.identifier.citationJournal of Quantitative Analysis in Sports
dc.identifier.urihttp://hdl.handle.net/10197/6845
dc.description.abstractA finite mixture latent trajectory model is developed to study the performance and strategy of runners in a 24-h long ultra running race. The model facilitates clustering of runners based on their speed and propensity to rest and thus reveals the strategies used in the race. Inference for the adopted latent trajectory model is achieved using an expectation-maximization algorithm. Fitting the model to data from the 2013 World Championships reveals three clearly separated clusters of runners who exhibit different strategies throughout the race. The strategies show that runners can be grouped in terms of their average moving speed and their propensity to rest during the race. The effect of age and gender on the probability of belonging to each cluster is also investigated.en
dc.description.sponsorshipScience Foundation Irelanden
dc.language.isoenen
dc.publisherDe Gruyteren
dc.rightsThe final publication is available at www.degruyter.comen
dc.subjectMachine learningen
dc.subjectStatisticsen
dc.subjectClusteringen
dc.subjectExpectation-maximization algorithmen
dc.subjectNon-ignorable drop-outen
dc.subjectUltra runningen
dc.titleA finite mixture latent trajectory model for modeling ultrarunners' behavior in a 24-hour raceen
dc.typeJournal Articleen
dc.statusPeer revieweden
dc.identifier.volume11
dc.identifier.issue4
dc.identifier.doi10.1515/jqas-2014-0060-
dc.neeo.contributorBartolucci|Francesco|aut|-
dc.neeo.contributorMurphy|Thomas Brendan|aut|-
dc.description.othersponsorshipItalian Governmenten
dc.date.updated2015-08-17T14:20:22Z
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en
item.grantfulltextopen-
item.fulltextWith Fulltext-
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