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Volumn 54, Issue 3, 2010, Pages 668-687

Mining and visualising ordinal data with non-parametric continuous BBNs

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; CONDITIONAL INDEPENDENCE STATEMENTS; CONTINUOUS VARIABLES; DIRECTED ACYCLIC GRAPHS; GRAPHICAL MODEL; GRAPHICAL MODELLING; JOINT DISTRIBUTIONS; LARGE DATABASE; MARGINAL DISTRIBUTION; MULTIVARIATE DATA; NON-PARAMETRIC; ORDINAL DATA; PROBABILISTIC GRAPHICAL MODELS; PROBABILISTIC MODELLING; PROBABILITY DENSITIES;

EID: 70549112629     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.09.032     Document Type: Article
Times cited : (54)

References (36)
  • 1
    • 0036392207 scopus 로고    scopus 로고
    • Vines-A new graphical model for dependent random variables
    • Bedford T., and Cooke R. Vines-A new graphical model for dependent random variables. Annals of Statistics 30 4 (2002) 1031-1068
    • (2002) Annals of Statistics , vol.30 , Issue.4 , pp. 1031-1068
    • Bedford, T.1    Cooke, R.2
  • 3
    • 0003846047 scopus 로고
    • Learning bayesian networks is np-hard
    • Technical Report MSR-TR-94-17, Microsoft Research
    • Chickering, D., Geiger, D., Heckerman, D., 1994. Learning bayesian networks is np-hard. Technical Report MSR-TR-94-17, Microsoft Research
    • (1994)
    • Chickering, D.1    Geiger, D.2    Heckerman, D.3
  • 4
    • 0003198184 scopus 로고    scopus 로고
    • Markov and entropy properties of tree and vine-dependent variables
    • American Statistical Association
    • Cooke R. Markov and entropy properties of tree and vine-dependent variables. Proceedings of the Section on Bayesian Statistical Science (1997), American Statistical Association
    • (1997) Proceedings of the Section on Bayesian Statistical Science
    • Cooke, R.1
  • 5
    • 34249832377 scopus 로고
    • A bayesian method for the induction of probabilistic networks from data
    • Cooper G., and Herskovits E. A bayesian method for the induction of probabilistic networks from data. Machine Learning 9 (1992) 309-347
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.1    Herskovits, E.2
  • 7
    • 0001156075 scopus 로고    scopus 로고
    • Discretizing continuous attributes while learning bayesian networks
    • Friedman, N., Goldszmidt, M., 1996. Discretizing continuous attributes while learning bayesian networks. In: Proc. ICML, 1996
    • (1996) Proc. ICML
    • Friedman, N.1    Goldszmidt, M.2
  • 8
    • 84880184783 scopus 로고    scopus 로고
    • Mixed non-parametric continuous and discrete bayesian belief nets
    • ISBN 978-1-58603-865-6. IOS Press
    • Hanea, A.M., Kurowicka, D., 2008. Mixed non-parametric continuous and discrete bayesian belief nets. Advances in Mathematical Modeling for Reliability ISBN 978-1-58603-865-6. IOS Press
    • (2008) Advances in Mathematical Modeling for Reliability
    • Hanea, A.M.1    Kurowicka, D.2
  • 10
    • 0003846041 scopus 로고
    • A tutorial on learning bayesian networks
    • Technical Report MSR-TR-95-06, Microsoft Research
    • Heckerman, D., 1995. A tutorial on learning bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research
    • (1995)
    • Heckerman, D.1
  • 12
    • 34249761849 scopus 로고    scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D., Geiger, D., Chickering, D., 1997. Learning bayesian networks: The combination of knowledge and statistical data. Machine Learning Journal 20(3)
    • (1997) Machine Learning Journal , vol.20 , Issue.3
    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
  • 14
    • 68349153730 scopus 로고
    • Relative entropy measures of multivariate dependence
    • Joe H. Relative entropy measures of multivariate dependence. Journal of the American Statistical Association 84 405 (1989) 157-164
    • (1989) Journal of the American Statistical Association , vol.84 , Issue.405 , pp. 157-164
    • Joe, H.1
  • 20
    • 0028482006 scopus 로고
    • Learning bayesian belief networks: An approach based on the mdl principle
    • Lam W., and Bacchus F. Learning bayesian belief networks: An approach based on the mdl principle. Computational Intelligence 10 (1994) 269-293
    • (1994) Computational Intelligence , vol.10 , pp. 269-293
    • Lam, W.1    Bacchus, F.2
  • 23
    • 32044469148 scopus 로고    scopus 로고
    • Measuring stochastic dependence using φ-divergence
    • Micheas A., and Zografos K. Measuring stochastic dependence using φ-divergence. Journal of Multivariate Analysis 97 (2006) 765784
    • (2006) Journal of Multivariate Analysis , vol.97 , pp. 765784
    • Micheas, A.1    Zografos, K.2
  • 24
    • 70649099709 scopus 로고    scopus 로고
    • Continuous-discrete distribution free bayesian belief nets in aviation safety with UniNet
    • Technical Report TU Delft
    • Morales-Napoles, O., Kurowicka, D., Cooke, R., Ababei, D., 2007. Continuous-discrete distribution free bayesian belief nets in aviation safety with UniNet. Technical Report TU Delft
    • (2007)
    • Morales-Napoles, O.1    Kurowicka, D.2    Cooke, R.3    Ababei, D.4
  • 25
    • 70649111862 scopus 로고    scopus 로고
    • Accountability analysis of title IV of the 1990 clean air act amendments. An approach using bayesian belief nets
    • Health Effects Institute, Philadelphia
    • Morgenstern, R., Harrington, W., Shis, J., Cooke, R., Krupnick, A., Bell, M., 2008. Accountability analysis of title IV of the 1990 clean air act amendments. An approach using bayesian belief nets. In: Annual Conference, Health Effects Institute, Philadelphia
    • (2008) Annual Conference
    • Morgenstern, R.1    Harrington, W.2    Shis, J.3    Cooke, R.4    Krupnick, A.5    Bell, M.6
  • 29
    • 70649099708 scopus 로고    scopus 로고
    • Pearson, K., 1907. Mathematical contributions to the theory of evolution. In: Biometric Series. VI.Series
    • Pearson, K., 1907. Mathematical contributions to the theory of evolution. In: Biometric Series. VI.Series
  • 30
    • 0006345351 scopus 로고
    • Critical values for spearman's rank order correlation
    • Ramsey P. Critical values for spearman's rank order correlation. Journal of educational statistics 14 3 (1989) 245-253
    • (1989) Journal of educational statistics , vol.14 , Issue.3 , pp. 245-253
    • Ramsey, P.1
  • 32
    • 33845872306 scopus 로고    scopus 로고
    • Multivariate extensions of spearman's rho and related statistics
    • Schmid F., and Schmidt R. Multivariate extensions of spearman's rho and related statistics. Statistics & Probability Letters 77 (2007) 407416
    • (2007) Statistics & Probability Letters , vol.77 , pp. 407416
    • Schmid, F.1    Schmidt, R.2
  • 33
    • 0000987741 scopus 로고
    • Gaussian influence diagrams
    • Shachter R., and Kenley C. Gaussian influence diagrams. Management Science 35 5 (1989) 527-550
    • (1989) Management Science , vol.35 , Issue.5 , pp. 527-550
    • Shachter, R.1    Kenley, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.