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Volumn , Issue , 2009, Pages 1913-1920

Fast computation of posterior mode in multi-level hierarchical models

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; HIERARCHICAL SYSTEMS; LAPLACE TRANSFORMS;

EID: 84863380417     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (9)
  • 6
    • 77950035264 scopus 로고    scopus 로고
    • Maximum likelihood for generalized linear models with nested random effects via high-order,multivariate Laplace approximation
    • S. W. Raudenbush, M. L. Yang, and M. Yosef. Maximum likelihood for generalized linear models with nested random effects via high-order,multivariate Laplace approximation. Journal of Computational and Graphical Statistics, 9(1):141-157, 2000.
    • (2000) Journal of Computational and Graphical Statistics , vol.9 , Issue.1 , pp. 141-157
    • Raudenbush, S.W.1    Yang, M.L.2    Yosef, M.3
  • 7
    • 4243757425 scopus 로고
    • An assessment of estimation procedures for multilevel models with binary responses
    • G. Rodriguez and N. Goldman. An assessment of estimation procedures for multilevel models with binary responses. Journal of Royal Statistical Society, Series A, 158:73-89, 1995.
    • (1995) Journal of Royal Statistical Society, Series A , vol.158 , pp. 73-89
    • Rodriguez, G.1    Goldman, N.2
  • 9
    • 0442309445 scopus 로고    scopus 로고
    • Identifiability, improper Priors, and Gibbs sampling for generalized linear models
    • S. K. Sahu and A. E. Gelfand. Identifiability, improper Priors, and Gibbs sampling for generalized linear models. Journal of the American Statistical Association, 94(445):247-254, 1999.
    • (1999) Journal of the American Statistical Association , vol.94 , Issue.445 , pp. 247-254
    • Sahu, S.K.1    Gelfand, A.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.