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Volumn , Issue , 2009, Pages 1969-1976

Posterior consistency of the silverman g-prior in Bayesian model choice

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; BAYESIAN MODELLING; KERNEL-METHODS; MAXIMUM A POSTERIORI ESTIMATION; MAXIMUM-A-POSTERIORI ESTIMATIONS; MODEL CHOICE; REGULARISATION; REGULARIZATION METHODS; REGULARIZATION THEORY; SUPERVISED LEARNING METHODS;

EID: 84863391627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 1
    • 18044404766 scopus 로고    scopus 로고
    • Benchmark priors for Bayesian model averaging
    • DOI 10.1016/S0304-4076(00)00076-2, PII S0304407600000762
    • C. Fernández, E. Ley, and M. F. J. Steel. Benchmark priors for Bayesian model averaging. Journal of Econometrics, 100:381-427, 2001. (Pubitemid 33647270)
    • (2001) Journal of Econometrics , vol.100 , Issue.2 , pp. 381-427
    • Fernandez, C.1    Ley, E.2    Steel, M.F.J.3
  • 2
    • 0031526204 scopus 로고    scopus 로고
    • Approaches for Bayesian variable selection
    • E. I. George and R. E. McCulloch. Approaches for Bayesian variable selection. Statistica Sinica, 7:339-374, 1997. (Pubitemid 127084819)
    • (1997) Statistica Sinica , vol.7 , Issue.2 , pp. 339-374
    • George, E.I.1    McCulloch, R.E.2
  • 5
    • 0001995852 scopus 로고
    • Some aspects of the spline smoothing approach to non-parametric regression curve fitting (with discussion
    • B. W. Silverman. Some aspects of the spline smoothing approach to non-parametric regression curve fitting (with discussion). Journal of the Royal Statistical Society, B, 47(1):1-52, 1985.
    • (1985) Journal of the Royal Statistical Society, B , vol.47 , Issue.1 , pp. 1-52
    • Silverman, B.W.1
  • 6
    • 0000824232 scopus 로고    scopus 로고
    • Nonparametric regression using Bayesian variable selection
    • M. Smith and R. Kohn. Nonparametric regression using Bayesian variable selection. Journal of Econometrics, 75:317-344, 1996.
    • (1996) Journal of Econometrics , vol.75 , pp. 317-344
    • Smith, M.1    Kohn, R.2
  • 8
    • 0242295767 scopus 로고    scopus 로고
    • Bayesian factor regression models in the "large p, small n" paradigm
    • J. M. Bernardo, M. J. Bayarri, J. .O Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, and M.West, editors. Oxford University Press
    • M. West. Bayesian factor regression models in the "large p, small n" paradigm. In J. M. Bernardo, M. J. Bayarri, J. .O Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, and M.West, editors, Bayesian Statistics 7, pages 723-732. Oxford University Press, 2003.
    • (2003) Bayesian Statistics , vol.7 , pp. 723-732
    • West, M.1
  • 9
    • 0002817906 scopus 로고
    • On assessing prior distributions and Bayesian regression analysis with g-prior distributions
    • P. K. Goel and A. Zellner, editors. North-Holland, Amsterdam
    • A. Zellner. On assessing prior distributions and Bayesian regression analysis with g-prior distributions. In P. K. Goel and A. Zellner, editors, Bayesian Inference and Decision Techniques: Essays in Honor of Bruno de Finetti, pages 233-243. North-Holland, Amsterdam, 1986.
    • (1986) Bayesian Inference and Decision Techniques: Essays in Honor of Bruno de Finetti , pp. 233-243
    • Zellner, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.