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Volumn 12, Issue 1, 2002, Pages 27-36

On Bayesian model and variable selection using MCMC

Author keywords

Gibbs sampler; Independence sampler; Metropolis Hastings; Reversible jump

Indexed keywords


EID: 0041696122     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1013164120801     Document Type: Article
Times cited : (329)

References (19)
  • 1
    • 0141477205 scopus 로고    scopus 로고
    • Comment on 'On Bayesian analysis of mixtures with and number of components'
    • Besag J. 1997. Comment on 'On Bayesian analysis of mixtures with and number of components'. Journal of Royal Statistical Society B 59: p. 774.
    • (1997) Journal of Royal Statistical Society B , vol.59 , pp. 774
    • Besag, J.1
  • 2
    • 0000506629 scopus 로고
    • Bayesian model choice via Markov chain Monte Carlo methods
    • Carlin B.P. and Chib S. 1995. Bayesian model choice via Markov chain Monte Carlo methods. Journal of Royal Statistical Society B 157: 473-484.
    • (1995) Journal of Royal Statistical Society B , vol.157 , pp. 473-484
    • Carlin, B.P.1    Chib, S.2
  • 3
    • 0030532505 scopus 로고    scopus 로고
    • Bayesian variable selection with related predictors
    • Chipman H. 1996. Bayesian variable selection with related predictors. Canadian Journal of Statistics 24: 17-36.
    • (1996) Canadian Journal of Statistics , vol.24 , pp. 17-36
    • Chipman, H.1
  • 4
    • 0141588744 scopus 로고    scopus 로고
    • Accounting for model uncertainty in Poisson regression models: Does particulate matter particularly matter?
    • Institute of Statistics and Decision Sciences, Duke University
    • Clyde M. and DeSimone-Sasinowska H. 1998. Accounting for model uncertainty in Poisson regression models: Does particulate matter particularly matter? Institute of Statistics and Decision Sciences, Duke University, Technical Report 97-06.
    • (1998) Technical Report 97-06
    • Clyde, M.1    DeSimone-Sasinowska, H.2
  • 5
    • 0000860415 scopus 로고    scopus 로고
    • Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models
    • Dellaportas P. and Forster J.J. 1999. Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models. Biometrika 86: 615-633.
    • (1999) Biometrika , vol.86 , pp. 615-633
    • Dellaportas, P.1    Forster, J.J.2
  • 6
    • 0039644192 scopus 로고
    • Bayesian inference for generalised linear and proportional hazards models via Gibbs sampling
    • Dellaportas P. and Smith A.F.M. 1993. Bayesian inference for generalised linear and proportional hazards models via Gibbs sampling. Applied Statistics 42: 443-459.
    • (1993) Applied Statistics , vol.42 , pp. 443-459
    • Dellaportas, P.1    Smith, A.F.M.2
  • 9
    • 77956889087 scopus 로고
    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • Green P. 1995. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82: 711-732.
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.1
  • 11
    • 0141700527 scopus 로고    scopus 로고
    • Comment on 'On Bayesian analysis of mixtures with an unknown number of components'
    • Gruet M.-A. and Robert C. 1997. Comment on 'On Bayesian analysis of mixtures with an unknown number of components'. Journal of Royal Statistical Society B 59: p. 777.
    • (1997) Journal of Royal Statistical Society B , vol.59 , pp. 777
    • Gruet, M.-A.1    Robert, C.2
  • 13
    • 0011373760 scopus 로고    scopus 로고
    • Variable selection for regression models
    • Kuo L. and Mallick B. 1998. Variable selection for regression models. Sankhyā, B 60: 65-81.
    • (1998) Sankhyā, B , vol.60 , pp. 65-81
    • Kuo, L.1    Mallick, B.2
  • 14
  • 15
    • 0000297493 scopus 로고    scopus 로고
    • Approximate bayes factors and accounting for model uncertainty in generalised linear models
    • Raftery A.E. 1996. Approximate bayes factors and accounting for model uncertainty in generalised linear models. Biometrika 83: 251-266.
    • (1996) Biometrika , vol.83 , pp. 251-266
    • Raftery, A.E.1
  • 17
    • 18244378520 scopus 로고    scopus 로고
    • On Bayesian analysis of mixtures with an unknown number of components
    • Richardson S. and Green P.J. 1997. On Bayesian analysis of mixtures with an unknown number of components (with discussion). Journal of Royal Statistical Society B 59: 731-792.
    • (1997) Journal of Royal Statistical Society B , vol.59 , pp. 731-792
    • Richardson, S.1    Green, P.J.2
  • 18
    • 0001974429 scopus 로고    scopus 로고
    • Markov chain concepts related to sampling algorithms
    • Gilks W.R., Richardson S., and Spiegelhalter D.J. (Eds.). Chapman and Hall, London
    • Roberts G.O. 1996. Markov chain concepts related to sampling algorithms. In: Gilks W.R., Richardson S., and Spiegelhalter D.J. (Eds.), Markov Chain Monte Carlo in Practice. Chapman and Hall, London, pp. 45-57.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 45-57
    • Roberts, G.O.1
  • 19
    • 0000576595 scopus 로고
    • Markov chains for exploring posterior distributions
    • Tierney L. 1994. Markov chains for exploring posterior distributions (with discussion). Annals of Statistics 22: 1701-1762.
    • (1994) Annals of Statistics , vol.22 , pp. 1701-1762
    • Tierney, L.1


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