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Volumn 125, Issue 2-3, 2002, Pages 149-155

Evaluation of scientific evidence using Bayesian networks

Author keywords

Bayes theorem; Bayesian networks; Evidence interpretation; Likelihood ratio

Indexed keywords

ARTICLE; FORENSIC SCIENCE; HYPOTHESIS; NONHUMAN; PRIORITY JOURNAL; PROBABILITY; QUALITY CONTROL; STATISTICAL ANALYSIS; TECHNIQUE;

EID: 0037127388     PISSN: 03790738     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0379-0738(01)00642-9     Document Type: Article
Times cited : (67)

References (19)
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    • C.G.G. Aitken, A. Gammerman, G. Zhang, T. Connolly, D. Bailey, R. Gordon, R. Oldfield, Bayesian belief networks with an application in specific case analysis, in: A. Gammerman (Ed.), Computational Learning and Probabilistic Reasoning, Wiley, London, 1996, pp. 169-184.
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    • Proceedings of the Workshop Artificial Intelligence and Judicial Proof, Cardozo Law Rev. 22, 5/6 (2001).
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    • D.A. Stoney, Transfer evidence, in: C.G.G. Aitken, D.A. Stoney (Eds.), The Use of Statistics in Forensic Science, Ellis Horwood, New York, 1991, pp. 107-138.
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    • D.V. Lindley, Probability theory, in: C.G.G. Aitken, D.A. Stoney (Eds.), The Use of Statistics in Forensic Science, Ellis Horwood, New York, 1991, pp. 27-50.
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    • C.G.G. Aitken, Statistics and the Evaluation of Evidence for Forensic Scientists, Wiley, Chichester, 1995.
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    • C. Champod, F. Taroni, Interpretation of fibres evidence-the Bayesian approach, in: J. Robertson, M. Grieve (Eds.), Forensic Examination of Fibres, 2nd Edition, Taylor & Francis, London, 1999, Chapter 13.3, pp. 379-398.
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    • C.G.G. Aitken, F. Taroni, P. Garbolino, A graphical model for the evaluation of cross-transfer evidence in DNA profiles, Theor. Population Biol., 2002, in press.
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    • HUGIN Lite, Version 5.7, Free demonstration version available at .


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.