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Volumn , Issue , 2006, Pages 453-460

Bayesian inference for Gaussian mixed graph models

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INFERENCE; CAUSAL MODEL; GAUSSIAN MODEL; GAUSSIANS; INFORMATIVE PRIORS; MARGINALIZATION; MIXED GRAPH; POSTERIOR DISTRIBUTIONS; VARIATIONAL APPROXIMATION;

EID: 80053215307     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (10)
  • 1
    • 21644460685 scopus 로고    scopus 로고
    • A Monte Carlo method for computing the marginal likelihood in nondecomposable Gaussian graphical models
    • DOI 10.1093/biomet/92.2.317
    • A. Atay-Kayis and H. Massam. A Monte Carlo method for computing the marginal likelihood in nondecomposable Gaussian graphical models. Biometrika, 92: 317-335, 2005. (Pubitemid 40937638)
    • (2005) Biometrika , vol.92 , Issue.2 , pp. 317-335
    • Atay-Kayis, A.1    Massam, H.2
  • 8
    • 0038107398 scopus 로고    scopus 로고
    • Markov properties for acyclic directed mixed graphs
    • T. Richardson. Markov properties for acyclic directed mixed graphs. Scandinavian Journal of Statistics, 30:145-157, 2003. (Pubitemid 36618827)
    • (2003) Scandinavian Journal of Statistics , vol.30 , Issue.1 , pp. 145-157
    • Richardson, T.1
  • 9
    • 0036392228 scopus 로고    scopus 로고
    • Ancestral graph Markov models
    • DOI 10.1214/aos/1031689015
    • T. Richardson and P. Spirtes. Ancestral graph Markov models. Annals of Statistics, 30:962-1030, 2002. (Pubitemid 37095336)
    • (2002) Annals of Statistics , vol.30 , Issue.4 , pp. 962-1030
    • Richardson, T.1    Spirtes, P.2
  • 10
    • 0033247467 scopus 로고    scopus 로고
    • Bayesian estimation and testing of structural equation models
    • R. Scheines, R. Hoijtink, and A. Boomsma. Bayesian estimation and testing of structural equation models. Psychometrika, 64:37-52, 1999.
    • (1999) Psychometrika , vol.64 , pp. 37-52
    • Scheines, R.1    Hoijtink, R.2    Boomsma, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.