메뉴 건너뛰기




Volumn 2, Issue 1, 2009, Pages 466-468

Bayesian networks for victim identification on the basis of DNA profiles

Author keywords

Bayesian networks; Computer programs; DNA profile; Forensic identification

Indexed keywords

DNA;

EID: 70649089302     PISSN: 18751768     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fsigss.2009.08.024     Document Type: Article
Times cited : (15)

References (6)
  • 1
    • 0036899314 scopus 로고    scopus 로고
    • Probabilistic expert systems for forensic inference from genetic markers
    • Dawid A., et al. Probabilistic expert systems for forensic inference from genetic markers. Scand. J. Stat. (2002) 577-595
    • (2002) Scand. J. Stat. , pp. 577-595
    • Dawid, A.1
  • 2
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • Lauritzen S., and Spiegelhalter D. Local computations with probabilities on graphical structures and their application to expert systems. J. R. Stat. Soc. B Met. (1988) 157-224
    • (1988) J. R. Stat. Soc. B Met. , pp. 157-224
    • Lauritzen, S.1    Spiegelhalter, D.2
  • 3
    • 0028221074 scopus 로고
    • DNA profile match probability calculation: how to allow for population stratification, relatedness, database selection and single bands
    • Balding D., and Nichols R. DNA profile match probability calculation: how to allow for population stratification, relatedness, database selection and single bands. Forensic Sci. Int. 64 2-3 (1994) 125-140
    • (1994) Forensic Sci. Int. , vol.64 , Issue.2-3 , pp. 125-140
    • Balding, D.1    Nichols, R.2
  • 6
    • 0034621283 scopus 로고    scopus 로고
    • Beyond traditional paternity and identification cases: selecting the most probable pedigree
    • Egeland T., et al. Beyond traditional paternity and identification cases: selecting the most probable pedigree. Forensic Sci. Int. 110 1 (2000) 47-59
    • (2000) Forensic Sci. Int. , vol.110 , Issue.1 , pp. 47-59
    • Egeland, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.