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Volumn 25, Issue 4, 2005, Pages 963-972

Using Bayesian networks to model expected and unexpected operational losses

Author keywords

Basel Accord; Bayesian nets; Operational risk

Indexed keywords

DATABASE SYSTEMS; FINANCE; MATHEMATICAL MODELS; STATISTICAL METHODS;

EID: 27644580886     PISSN: 02724332     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2005.00641.x     Document Type: Article
Times cited : (117)

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  • 6
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    • Lauritzen, S. L., & Spiegelhalter, D. J. (1988). Local computations with probabilities on graphical structures and their application to expert systems (with discussion). Journal of the Royal Statistical Society Series B, 50(2), 157-224.
    • (1988) Journal of the Royal Statistical Society Series B , vol.50 , Issue.2 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 7
    • 0035249668 scopus 로고    scopus 로고
    • Using Bayesian belief networks to predict the reliability of military vehicles
    • Neil, M., Fenton, N. E., Forey, S., & Harris, R. (2001). Using Bayesian belief networks to predict the reliability of military vehicles. IEE Computing and Control Engineering, 12(1), 11-20.
    • (2001) IEE Computing and Control Engineering , vol.12 , Issue.1 , pp. 11-20
    • Neil, M.1    Fenton, N.E.2    Forey, S.3    Harris, R.4
  • 8
    • 27644577425 scopus 로고    scopus 로고
    • Modelling an air traffic control environment using Bayesian belief networks
    • August 4-8, 2003, Ottawa, Ontario, Canada
    • Neil, M., Malcolm, B., & Shaw, R. (2003). Modelling an air traffic control environment using Bayesian belief networks. Presented at the 21st International System Safety Conference, August 4-8, 2003, Ottawa, Ontario, Canada.
    • (2003) 21st International System Safety Conference
    • Neil, M.1    Malcolm, B.2    Shaw, R.3
  • 9
    • 46149134436 scopus 로고
    • Fusion, propagation, and structuring in belief networks
    • Pearl, J. (1986). Fusion, propagation, and structuring in belief networks. Artificial Intelligence, 29, 241-288.
    • (1986) Artificial Intelligence , vol.29 , pp. 241-288
    • Pearl, J.1
  • 12
    • 0000529827 scopus 로고
    • Learning in probabilistic expert systems
    • Oxford: Oxford University Press
    • Spegelhalter, D. J., & Cowell, R. G. (1992). Learning in probabilistic expert systems. In Bayesian Statistics (pp. 447-465). Oxford: Oxford University Press.
    • (1992) Bayesian Statistics , pp. 447-465
    • Spegelhalter, D.J.1    Cowell, R.G.2
  • 13
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    • Value at risk for a mixture of normal distributions: The use of quasi-Bayesian estimation techniques
    • Federal Reserve Bank of Chicago
    • Venkataraman, S. S. (1997). Value at risk for a mixture of normal distributions: The use of quasi-Bayesian estimation techniques. In Economic Perspectives. Federal Reserve Bank of Chicago.
    • (1997) Economic Perspectives
    • Venkataraman, S.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.