A PCA-based likelihood ratio model for forensic gait analysis from empirical data produces misleading results in less than 10% of comparisons but is sensitive to mis-specification of within-individual variability.
Mathematical Contributions to the Theory of Evolution. VII. On the Correla- tion of Characters not Quantitatively Measurable
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Evaluating the probative value of forensic gait analysis evidence using empirical data
A PCA-based likelihood ratio model for forensic gait analysis from empirical data produces misleading results in less than 10% of comparisons but is sensitive to mis-specification of within-individual variability.