2017
DOI: 10.1016/j.diin.2017.06.009
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Analyzing user-event data using score-based likelihood ratios with marked point processes

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Cited by 8 publications
(6 citation statements)
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“…This approach is often used in biometrics for example (Ross et al, 2006). Galbraith and Smyth (2017) investigated the potential of SLRs for assessing the strength of association by using a combination of near-neighbour score functions and population-based inference (see Section 5.1). In the present paper we extend these ideas to a broader and more general framework.…”
Section: Likelihood Ratio Methods In Forensic Sciencementioning
confidence: 99%
“…This approach is often used in biometrics for example (Ross et al, 2006). Galbraith and Smyth (2017) investigated the potential of SLRs for assessing the strength of association by using a combination of near-neighbour score functions and population-based inference (see Section 5.1). In the present paper we extend these ideas to a broader and more general framework.…”
Section: Likelihood Ratio Methods In Forensic Sciencementioning
confidence: 99%
“…Notably, evaluation by case study allows creating a complete and complex picture of whole phenomena, as stated in [ 46 , 47 , 48 ]. This work follows the theoretical approach for constructing case studies as presented in [ 49 , 50 ]. Christopher Galbraith evaluated his work by comparing the data of 28 individuals over seven days on the known same source and known different sources [ 49 ].…”
Section: Case Studymentioning
confidence: 99%
“…This work follows the theoretical approach for constructing case studies as presented in [ 49 , 50 ]. Christopher Galbraith evaluated his work by comparing the data of 28 individuals over seven days on the known same source and known different sources [ 49 ]. Hyunji Chung et al created a hypothetical crime scene for investigation on cloud forensics.…”
Section: Case Studymentioning
confidence: 99%
“…A number of authors have advocated for the LR approach (Aitken and Taroni, 2004;Willis et al, 2015). Attempts have been made to apply the LR approach to many kinds of forensic evidence like DNA (Steele and Balding, 2014), latent prints (Neumann et al, 2012), digital (Galbraith and Smyth, 2017;Galbraith et al, 2020), firearms (Bunch and Wevers, 2013) and handwriting (Bozza et al, 2008;Marquis et al, 2011;Gaborini et al, 2017). We briefly explain the approach here.…”
Section: Introductionmentioning
confidence: 99%