Ensemble SLRs for Forensic Evidence Comparison
This webinar is on-demand and available immediately.
To strengthen the statistical foundations of forensic evidence interpretation, likelihood ratios and Bayes factors are advocated to quantify the value of evidence. Both methods rely on formulating a statistical model, which can be challenging for complex evidence. Machine learning score-based likelihood ratios have been proposed as an alternative in those cases.
Presenter: Danica Ommen
Recorded: 08/25/2022
Price: $0.00 | |||
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