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Volumn , Issue , 2010, Pages

Copula Bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DISTRIBUTION FUNCTIONS;

EID: 85161970425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (110)

References (29)
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    • P. Cortez, A. Cerdeira, F. Almeida, T. Matos, and J. Reis. Modeling wine preferences by data mining from physicochemical properties. Decision Support Systems, 47(4):547-553, 2009.
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    • Cortez, P.1    Cerdeira, A.2    Almeida, F.3    Matos, T.4    Reis, J.5
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    • Asymmetric CAPM dependence for large dimensions: The canonical vine autoregressive copula model
    • A. Heinen and A. Alfonso. Asymmetric CAPM dependence for large dimensions: The canonical vine autoregressive copula model. ECORE Discussion Paper, 2008.
    • (2008) ECORE Discussion Paper
    • Heinen, A.1    Alfonso, A.2
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    • Joe, H.1    Xu, J.2
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    • K. Koehler and J. Symanowski. Constructing multivariate distributions with specific marginal distributions. Journal of Multivariate Distributions, 55:261-282, 1995.
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    • Koehler, K.1    Symanowski, J.2
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    • The vine copula method for representing high dimensional dependent distributions: Applications to continuous belief nets
    • D. Kurwicka and R. Cooke. The vine copula method for representing high dimensional dependent distributions: Applications to continuous belief nets. In The Winter Simulation Conference, 2002.
    • (2002) The Winter Simulation Conference
    • Kurwicka, D.1    Cooke, R.2
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    • 70450277253 scopus 로고    scopus 로고
    • The nonparanormal: Semiparametric estimation of high dimensional undirected graphs
    • H. Liu, J. Lafferty, and L. Wasserman. The nonparanormal: Semiparametric estimation of high dimensional undirected graphs. Journal of Machine Learning Research, 10:22952328, 2010.
    • (2010) Journal of Machine Learning Research , vol.10 , pp. 22952328
    • Liu, H.1    Lafferty, J.2    Wasserman, L.3
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    • Morillas, P.1
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    • Parzen, E.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.