Research Article
Information-theoretical comparison of likelihood ratio methods of forensic evidence evaluation
@INPROCEEDINGS{10.1109/IAS.2007.63, author={Daniel Ramos and Joaquin Gonzalez-Rodriguez and Grzegorz Zadora and Janina Zieba-Palus and Colin Aitken}, title={Information-theoretical comparison of likelihood ratio methods of forensic evidence evaluation}, proceedings={1st International ICST Workshop on Computational Forensics}, publisher={IEEE}, proceedings_a={IWCF}, year={2007}, month={9}, keywords={Biometrics Forensics Glass HDTV Information security Law Layout Mathematics Paints Statistics}, doi={10.1109/IAS.2007.63} }
- Daniel Ramos
Joaquin Gonzalez-Rodriguez
Grzegorz Zadora
Janina Zieba-Palus
Colin Aitken
Year: 2007
Information-theoretical comparison of likelihood ratio methods of forensic evidence evaluation
IWCF
IEEE
DOI: 10.1109/IAS.2007.63
Abstract
Forensic evidence in the form of two-level hierarchical multivariate continuous data is modelled using a likelihood ratio approach. Data are available from fragments of glass and of paint. Cross-entropy is used to compare the results with a neutral method and a method using the correct answers.
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