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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorShafiee Kamalabad, Mahdi
dc.contributor.authorRood, Sterre
dc.date.accessioned2022-07-27T00:00:50Z
dc.date.available2022-07-27T00:00:50Z
dc.date.issued2022
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/41950
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectThis study looks at whether a moving window approach can detect change points in relational event data. Change points are points in time where the effects of interactions change greatly. To find possible change points with a moving window approach, data from NASA's unsuccessful mission to the moon is used, Apollo 13. Additionally, the Bayes Factor is applied to statistically test whether there is evidence for some of the change points found by the moving window approach.
dc.titleMoving window approach for detecting change points in relational event data
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuApplied Data Science
dc.thesis.id6792


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