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Volumn 25, Issue 4, 2010, Pages 326-344

Credit risk modeling using bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

ATTRACTIVE SOLUTIONS; BANKING INDUSTRY; BAYESIAN NETWORK MODELS; BUSINESS LINKS; CONCENTRATION OF; CREDIT RISK MODELING; CREDIT RISKS; GRAPH STRUCTURES; MODEL ASSESSMENT; MUTUAL INFORMATIONS; PROBABILISTIC GRAPHS; QUANTITATIVE LINKS; RELIABLE MODELS; RISK EXPOSURE; TESTING ANALYSIS; UNCERTAIN KNOWLEDGE;

EID: 77951060111     PISSN: 08848173     EISSN: 1098111X     Source Type: Journal    
DOI: 10.1002/int.20410     Document Type: Article
Times cited : (22)

References (21)
  • 4
    • 33846252686 scopus 로고    scopus 로고
    • Common failings: How corporate defaults are correlated?
    • Das SR, Duffie D, Kapadia N, Saita L. Common failings: How corporate defaults are correlated? J Finance 2007;12(1):93-117.
    • (2007) J Finance , vol.12 , Issue.1 , pp. 93-117
    • Das, S.R.1    Duffie, D.2    Kapadia, N.3    Saita, L.4
  • 5
    • 77951047480 scopus 로고    scopus 로고
    • Bank concentration risk
    • York J. Bank concentration risk. Risk Manage Anal J 2007;09:52-57.
    • (2007) Risk Manage Anal J , vol.9 , pp. 52-57
    • York, J.1
  • 6
    • 29244456151 scopus 로고    scopus 로고
    • Credit risk assessment: A challenge for financial institutions
    • Kalapodas E, Thomson M. Credit risk assessment: a challenge for financial institutions. J Manage Math 2006;17:25-46.
    • (2006) J Manage Math , vol.17 , pp. 25-46
    • Kalapodas, E.1    Thomson, M.2
  • 7
    • 69449102977 scopus 로고    scopus 로고
    • Granularity adjustment for Basel II
    • GordyM, Lütkebohmert E. Granularity adjustment for Basel II. Bank Fin Stud 2007;1:1-23.
    • (2007) Bank Fin Stud , vol.1 , pp. 1-23
    • Gordy, M.1    Lütkebohmert, E.2
  • 8
    • 20444503386 scopus 로고    scopus 로고
    • A Bayesian network estimation of the service-profit chain for transport service satisfaction
    • Anderson RD, Mackoy RD, Thompson VB, Harrell G. A Bayesian network estimation of the service-profit chain for transport service satisfaction. Decision Sci 2004;35(4):665-690.
    • (2004) Decision Sci , vol.35 , Issue.4 , pp. 665-690
    • Anderson, R.D.1    Mackoy, R.D.2    Thompson, V.B.3    Harrell, G.4
  • 9
    • 36248964211 scopus 로고    scopus 로고
    • Modeling operational risk with Bayesian networks
    • Cowell RG, Verrall RJ, Yoon YK. Modeling operational risk with Bayesian networks. J Risk Insurance 2007;74(4):795-827.
    • (2007) J Risk Insurance , vol.74 , Issue.4 , pp. 795-827
    • Cowell, R.G.1    Verrall, R.J.2    Yoon, Y.K.3
  • 10
    • 33846660949 scopus 로고    scopus 로고
    • UsingBayesian networks for bankruptcy prediction: some methodological issues
    • Sun L, Shenoy PP. UsingBayesian networks for bankruptcy prediction: some methodological issues. Eur J Oper Res 2007;180:738-753.
    • (2007) Eur J Oper Res , vol.180 , pp. 738-753
    • Sun, L.1    Shenoy, P.P.2
  • 11
    • 50549088726 scopus 로고    scopus 로고
    • Assessing model structure uncertainty though an analysis of system feedback and Bayesian networks
    • Hosack RH, Hayes KR, Dambacher MJ. Assessing model structure uncertainty though an analysis of system feedback and Bayesian networks. Ecol Appl 2008;18(4):1070-1082.
    • (2008) Ecol Appl , vol.18 , Issue.4 , pp. 1070-1082
    • Hosack, R.H.1    Hayes, K.R.2    Dambacher, M.J.3
  • 12
    • 84886459405 scopus 로고    scopus 로고
    • Using Bayesian networks to model the operational risk to information technology infrastructure in financial institutions
    • Neil M, Marquez D, Fenton N. Using Bayesian networks to model the operational risk to information technology infrastructure in financial institutions. J Fin Trans 2007;2:131-138.
    • (2007) J Fin Trans , vol.2 , pp. 131-138
    • Neil, M.1    Marquez, D.2    Fenton, N.3
  • 13
    • 33746334456 scopus 로고    scopus 로고
    • Supervised classification with conditional Gaussian networks: Increasing the structure from naive Bayes
    • Péretz A, Larrañaga P, Inza I. Supervised classification with conditional Gaussian networks: increasing the structure from naive Bayes. Int J Approx Reason 2006;43:1-25.
    • (2006) Int J Approx Reason , vol.43 , pp. 1-25
    • Péretz, A.1    Larrañaga, P.2    Inza, I.3
  • 14
    • 49549100459 scopus 로고    scopus 로고
    • Learning causal Bayesian network structures from experimental data
    • Ellis B, Wong WH. Learning causal Bayesian network structures from experimental data. JASA 2008;103(482):778-789.
    • (2008) JASA , vol.103 , Issue.482 , pp. 778-789
    • Ellis, B.1    Wong, W.H.2
  • 16
    • 33845265891 scopus 로고    scopus 로고
    • Bounds for the loss in probability of correct classification under model base approximation
    • Ekdahl M, Koski T. Bounds for the loss in probability of correct classification under model base approximation. J Mach Learn Res 2006;7:2449-2480.
    • (2006) J Mach Learn Res , vol.7 , pp. 2449-2480
    • Ekdahl, M.1    Koski, T.2
  • 17
    • 58149242746 scopus 로고    scopus 로고
    • Scoring feature subsets for separation power in supervised Bayesian classification
    • Larry J, Miranda E, Li S, Hrynewich O, editors. Berlin: Springer-Verlag
    • Pavlenko, T, Fridén, H. Scoring feature subsets for separation power in supervised Bayesian classification. In: Larry J, Miranda E, Li S, Hrynewich O, editors. Softmethods in integrating uncertain modelling: Advances in soft computing. Berlin: Springer-Verlag, 2006. Vol 37, pp 383-391.
    • (2006) Softmethods in Integrating Uncertain Modelling: Advances in Soft Computing , vol.37 , pp. 383-391
    • Pavlenko, T.1    Fridén, H.2
  • 18
    • 67651049356 scopus 로고    scopus 로고
    • Bayesian unsupervised classification framework based on stochastic partitions of data and parallel search strategy
    • Corrander J, Gyllenberg M, Koski T. Bayesian unsupervised classification framework based on stochastic partitions of data and parallel search strategy. Adv Data Anal Class 2009;3:3-24.
    • (2009) Adv Data Anal Class , vol.3 , pp. 3-24
    • Corrander, J.1    Gyllenberg, M.2    Koski, T.3
  • 19
    • 84978888201 scopus 로고    scopus 로고
    • IAS 24 Related Party Disclosures
    • IAS 24 Related Party Disclosures. International Accounting Standards Board. http:// www.iasplus.com/agenda/relatedparty.htm, 2008. Accessed 11 December 2008.
    • (2008) International Accounting Standards Board
  • 20
    • 33750071718 scopus 로고    scopus 로고
    • A scoring function for learning Bayesian networks based on mutual information and conditional independence tests
    • de Campos LM. A scoring function for learning Bayesian networks based on mutual information and conditional independence tests. J Mach Learn Res 2006;7:2149-2187.
    • (2006) J Mach Learn Res , vol.7 , pp. 2149-2187
    • De Campos, L.M.1
  • 21
    • 52949152920 scopus 로고    scopus 로고
    • Boosted Bayesian network classifiers
    • Jing Y, Pavlovíc V, Rehg MJ. Boosted Bayesian network classifiers. Mach Learn 2008;73:155-184.
    • (2008) Mach Learn , vol.73 , pp. 155-184
    • Jing, Y.1    Pavlovíc, V.2    Rehg, M.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.