Evaluating Reference Sets for Score-Based Likelihood Ratios for Camera Device Identification
dc.contributor.author | Reinders, Stephanie | |
dc.contributor.author | Ommen, Danica | |
dc.contributor.author | Carriquiry, Alicia | |
dc.contributor.department | Center for Statistics and Applications in Forensic Evidence | |
dc.contributor.department | Statistics | |
dc.date.accessioned | 2022-11-10T14:21:37Z | |
dc.date.available | 2022-11-10T14:21:37Z | |
dc.date.issued | 2022-08-05 | |
dc.description.abstract | An investigator wants to know if an illicit image captured by an unknown camera was taken by a person of interest’s (POI’s) phone. Score-based likelihood ratios (SLRs) have been used to answer this question in previous research. We explore whether the reference set used to calculate SLRs makes a difference in the outcome when the questioned image comes from a phone of the same model as the POI’s phone. | |
dc.description.comments | This presentation is from the 106th International Association for Identification (IAI) Annual Educational Conference, Omaha, Nebraska, July 31-Aug 6, 2022. Posted with permission of CSAFE. | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/qzXB1nLv | |
dc.language.iso | en | |
dc.publisher | Copyright 2022, The Authors | |
dc.subject.disciplines | DegreeDisciplines::Social and Behavioral Sciences::Legal Studies::Forensic Science and Technology | |
dc.title | Evaluating Reference Sets for Score-Based Likelihood Ratios for Camera Device Identification | |
dc.type | Presentation | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 6ddd5891-2ad0-4a93-89e5-8c35c28b0de4 | |
relation.isOrgUnitOfPublication | d8a3c72b-850f-40f6-87c4-8812547080c7 | |
relation.isOrgUnitOfPublication | 5a1eba07-b15d-466a-a333-65bd63a4001a |
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