This CSAFE Center Wide Meeting webinar was presented by Hal Stern from University of California on January 19, 2017.
The likelihood ratio has been proposed as a logical way to summarize forensic evidence. In pattern evidence disciplines; however, the application of likelihood ratios is challenging because of the high-dimensional data involved and the lack of relevant probability models (among other issues). Score-based likelihood ratios are one approach to handling the high-dimensional data issue. The webinar reviews likelihood ratios, their role in forensic science and the potential of score-based likelihood ratios.