Evaluation of trace evidence in the form of multivariate data
By Colin Aitken, D. Lucy. 2004
342 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7497cb0bb4117472bc0e65a85779918dd76c0e71
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In Statistics and Probability
- Silvia Bozza
- Franco Taroni
- R. Marquis
- Matthieu Schmittbuhl
- Qiang Shen
- Richard Jensen
- D. Lucy
- Colin Aitken
Citations in the corpus
- NFI-FRITS: A forensic speaker recognition database and some first experiments (2014, neutral): “Originally, attempts were made to estimate the probability density functions (PDFs) similar to numerator and denominator in (1) [5,6], but later it was realised that the comparison score of an automatic speaker recognition system can be used directly in a score-to-likelihood ratio function that is l”
- Dismissal of the illusion of uncertainty in the assessment of a likelihood ratio (2016, background): “These results provide a distribution among several allocations of likelihood ratio results (Aitken and Lucy, 2004). Another possibility is to generate data for each of the target settings by simulations. Such an approach may be acceptable, for instance, in applications where the distribution of sour”
- Probabilistic evaluation of handwriting evidence: likelihood ratio for authorship (2008, methodology): “A statistical model for the evaluation of the evidence through the derivation of an appropriate likelihood ratio for multivariate data has been proposed by Aitken and Lucy (2004) in the context of elemental composition of glass fragments.”