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Volumn 112, Issue 1-2, 2003, Pages 241-258

Approximations and consistency of Bayes factors as model dimension grows

Author keywords

Asymptotic consistency; Bayes factor; BIC; Model selection

Indexed keywords


EID: 0037336255     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-3758(02)00336-1     Document Type: Article
Times cited : (71)

References (11)
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  • 6
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    • A reference Bayesian test for nested hypothesis and its relationship to the Schwarz criterion
    • Kass, R.E., Wasserman, L., 1995. A reference Bayesian test for nested hypothesis and its relationship to the Schwarz criterion. J. Amer. Statist. Assoc. 90 (431), 928-934.
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    • Kass, R.E.1    Wasserman, L.2
  • 7
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    • Bayesian model selection for high dimensional models with prediction error loss and 0-1 loss
    • Ph.D. Thesis. Purdue University
    • Mukhopadhyay, N.D., 2000. Bayesian model selection for high dimensional models with prediction error loss and 0-1 loss. Ph.D. Thesis, Purdue University.
    • (2000)
    • Mukhopadhyay, N.D.1
  • 8
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    • The Schwarz criterion and related methods for normal linear methods
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    • Pauler, D.1
  • 9
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    • Estimating the dimension of a model
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    • (1978) Ann. Statist. , vol.6 , pp. 461-464
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  • 10
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    • Comments on model selection criteria of Akaike and Schwarz
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    • Stone, M.1
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    • Zellner, A., Siow, A., 1980. Posterior odds ratios for selected regression hypothesis. In: Bernardo, J.M., DeGroot, M.H., Lindley, D., Smith, A.F.M. (Eds.), Bayesian Statistics: Proceedings of the First International meeting held in Valencia. University of Valencia Press.
    • (1980)
    • Zellner, A.1    Siow, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.