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Volumn , Issue , 2012, Pages 1-494

Risk assessment and decision analysis with bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords


EID: 85055382272     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b21982     Document Type: Book
Times cited : (434)

References (102)
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    • When ‘neutral’ evidence still has probative value (With implications from the Barry George Case)
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  • 31
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    • When ‘neutral’ evidence still has probative value (With implications from the Barry George Case)
    • Article explains the role of the likelihood ratio in the Barry George case
    • “Fenton, N. E., D. Berger, D. Lagnado, M. Neil and A. Hsu. (2013). When ‘neutral’ evidence still has probative value (with implications from the Barry George Case), Science and Justice, http://dx.doLorg/10.1016/j. scijus.2013.07.002 Article explains the role of the likelihood ratio in the Barry George case.
    • (2013) Science and Justice
    • Fenton, N.E.1    Berger, D.2    Lagnado, D.3    Neil, M.4    Hsu, A.5
  • 32
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    • Avoiding legal fallacies in practice using Bayesian networks
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    • Fenton, N. E., and Neil, M. (2011). Avoiding legal fallacies in practice using Bayesian networks. Australian Journal of Legal Philosophy vol. 36, 114–150. This paper provides an extensive discussion of the probabilistic fallacies of reasoning in the law.
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    • Fenton, N.E.1    Neil, M.2
  • 33
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    • Expert system support using Bayesian belief networks in the prognosis of head-injured patients of the ICU
    • This is the paper (referred to in Box 7.2) in which a BN model for head injury prognosis was learned from data
    • Nikiforidis, G., and Sakellaropoulos, G. (1998). Expert system support using Bayesian belief networks in the prognosis of head-injured patients of the ICU. Medical Informatics (London) 23(1), 1–18. This is the paper (referred to in Box 7.2) in which a BN model for head injury prognosis was learned from data.
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    • This paper provides the detailed background on ranked nodes
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    • Fenton, N.E.1    Neil, M.2    Caballero, J.G.3
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    • Using Bayesian networks to predict software defects and reliability
    • This paper describes how we used dynamic discretization to resolve the problem described in Box 9.8
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    • Fenton, N.E.1    Neil, M.2    Marquez, D.3
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    • Inference in hybrid Bayesian networks using dynamic discretization
    • Definitive source for the dynamic discretization algorithm
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    • (2001) IEE Computing and Control Engineering , vol.12 , Issue.1 , pp. 11-20
    • Neil, M.1    Fenton, N.2    Forey, S.3    Harris, R.4
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    • Extended web version
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    • A General Structure for Legal Arguments Using Bayesian Networks
    • Extended web version
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    • Comparing risks of alternative medical diagnosis using Bayesian arguments
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    • Fenton, N.E.1    Neil, M.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.