LambdaG, a cognitively motivated grammar likelihood ratio, outperforms seven baseline methods on twelve authorship verification datasets while providing interpretability and robustness.
Likelihood Ratios for Categorical Evidence: Comparison of LR Models Applied to Gunshot Residue Data.Law, Probability and Risk, 16(2-3):71–90, 09 2017
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Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verification
LambdaG, a cognitively motivated grammar likelihood ratio, outperforms seven baseline methods on twelve authorship verification datasets while providing interpretability and robustness.