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Feature-Based Likelihood Ratios for Forensic Science: Combining Neural Networks with Bayesian Probability Calculus
In forensic science, when crime-scene evidence (CSE) and suspect-related evidence (SRE) is present, it is customary to report on the value of this evidence in the form of a likelihood ratio (LR). The LR can be calculated as the probability of CSE given SRE divided by the probability of CSE given tha
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