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Volumn 193, Issue 1-3, 2009, Pages 63-71

Implementing statistical learning methods through Bayesian networks. Part 1: A guide to Bayesian parameter estimation using forensic science data

Author keywords

Bayesian networks; Bayesian parameter estimation; Statistical learning methods

Indexed keywords

ARTICLE; BAYES THEOREM; DOCUMENTATION; FORENSIC SCIENCE; LEGAL EVIDENCE; PRIORITY JOURNAL; PROBABILITY; STATISTICAL ANALYSIS; THEORY; UNCERTAINTY;

EID: 70449639683     PISSN: 03790738     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.forsciint.2009.09.007     Document Type: Article
Times cited : (17)

References (24)
  • 6
    • 7744245468 scopus 로고    scopus 로고
    • The Bayesian approach
    • Robertson J., and Grieve M. (Eds), Taylor and Francis, London
    • Champod C., and Taroni F. The Bayesian approach. In: Robertson J., and Grieve M. (Eds). Forensic Examination of Fibres (1999), Taylor and Francis, London 379-398
    • (1999) Forensic Examination of Fibres , pp. 379-398
    • Champod, C.1    Taroni, F.2
  • 11
    • 0000610488 scopus 로고    scopus 로고
    • Decision models in screening for breast cancer
    • Parmigiani G. Decision models in screening for breast cancer. Bayesian Statistics 6 (1999) 525-546
    • (1999) Bayesian Statistics , vol.6 , pp. 525-546
    • Parmigiani, G.1
  • 13
    • 0033827230 scopus 로고    scopus 로고
    • The scientist and the scales of justice
    • Jackson G. The scientist and the scales of justice. Science & Justice 40 (2000) 81-85
    • (2000) Science & Justice , vol.40 , pp. 81-85
    • Jackson, G.1
  • 14
    • 0000026736 scopus 로고    scopus 로고
    • Forerunners of Bayesianism in early forensic science
    • Taroni F., Champod C., and Margot P. Forerunners of Bayesianism in early forensic science. Jurimetrics Journal 38 (1998) 183-200
    • (1998) Jurimetrics Journal , vol.38 , pp. 183-200
    • Taroni, F.1    Champod, C.2    Margot, P.3
  • 16
    • 0043115676 scopus 로고    scopus 로고
    • Knowledge fragments: representing knowledge for constructing probabilistic models
    • Geiger D., and Shenoy P.P. (Eds), Morgan Kaufmann Publishers, San Francisco, CA
    • Blackmond Laskey K., and Mahoney S.M. Knowledge fragments: representing knowledge for constructing probabilistic models. In: Geiger D., and Shenoy P.P. (Eds). Uncertainty in Artificial Intelligence, Proceedings of the Thirteenth Conference (1997), Morgan Kaufmann Publishers, San Francisco, CA 334-341
    • (1997) Uncertainty in Artificial Intelligence, Proceedings of the Thirteenth Conference , pp. 334-341
    • Blackmond Laskey, K.1    Mahoney, S.M.2
  • 21
    • 0031052225 scopus 로고    scopus 로고
    • Using a graphical method to assist the evaluation of complicated patterns of evidence
    • Dawid A.P., and Evett I.W. Using a graphical method to assist the evaluation of complicated patterns of evidence. Journal of Forensic Sciences 42 (1997) 226-231
    • (1997) Journal of Forensic Sciences , vol.42 , pp. 226-231
    • Dawid, A.P.1    Evett, I.W.2
  • 22
    • 0037127388 scopus 로고    scopus 로고
    • Evaluation of scientific evidence using Bayesian networks
    • Garbolino P., and Taroni F. Evaluation of scientific evidence using Bayesian networks. Forensic Science International 125 (2002) 149-155
    • (2002) Forensic Science International , vol.125 , pp. 149-155
    • Garbolino, P.1    Taroni, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.