메뉴 건너뛰기




Volumn 32, Issue 5, 2004, Pages 2044-2073

On the posterior distribution of the number of components in a finite mixture

Author keywords

Bayesian analysis; Constrained estimation; Finite mixture distribution; Markov chain Monte Carlo; Prior distribution

Indexed keywords


EID: 24344434627     PISSN: 00905364     EISSN: None     Source Type: Journal    
DOI: 10.1214/009053604000000788     Document Type: Article
Times cited : (49)

References (15)
  • 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. J. Roy. Statist. Soc. Ser. B 57 473-484.
    • (1995) J. Roy. Statist. Soc. Ser. B , vol.57 , pp. 473-484
    • Carlin, B.P.1    Chib, S.2
  • 3
    • 0001244941 scopus 로고
    • Estimation of finite mixture distributions through Bayesian sampling
    • DIEBOLT, J. and ROBERT, C. P. (1994). Estimation of finite mixture distributions through Bayesian sampling. J. Roy. Statist. Soc. Ser. B 56 363-375.
    • (1994) J. Roy. Statist. Soc. Ser. B , vol.56 , pp. 363-375
    • Diebolt, J.1    Robert, C.P.2
  • 4
    • 84972511893 scopus 로고
    • Practical Markov chain Monte Carlo (with discussion)
    • GEYER, C. J. (1992). Practical Markov chain Monte Carlo (with discussion). Statist. Sci. 7 473-503.
    • (1992) Statist. Sci. , vol.7 , pp. 473-503
    • Geyer, C.J.1
  • 6
    • 0000391986 scopus 로고    scopus 로고
    • Testing for mixtures: A Bayesian entropic approach
    • (J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith, eds.) . Oxford Univ. Press
    • MENGERSEN, K. L. and ROBERT, C. P. (1996). Testing for mixtures: A Bayesian entropic approach. In Bayesian Statistics 5 (J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith, eds.) 255-276. Oxford Univ. Press.
    • (1996) Bayesian Statistics , vol.5 , pp. 255-276
    • Mengersen, K.L.1    Robert, C.P.2
  • 8
    • 0002013327 scopus 로고    scopus 로고
    • Bayesian model comparison via jump diffusions
    • (W. R. Gilks, S. Richardson and D. J. Spiegelhalter, eds.) . Chapman and Hall, London
    • PHILLIPS, D. B. and SMITH, A. F. M. (1996). Bayesian model comparison via jump diffusions. In Markov Chain Monte Carlo in Practice (W. R. Gilks, S. Richardson and D. J. Spiegelhalter, eds.) 215-239. Chapman and Hall, London.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 215-239
    • Phillips, D.B.1    Smith, A.F.M.2
  • 9
    • 0000783674 scopus 로고    scopus 로고
    • Hypothesis testing and model selection
    • (W. R. Gilks, S. Richardson and D. J. Spiegelhalter, eds.) . Chapman and Hall, London
    • RAFTERY, A. E. (1996). Hypothesis testing and model selection. In Markov Chain Monte Carlo in Practice (W. R. Gilks, S. Richardson and D. J. Spiegelhalter, eds.) 163-187. Chapman and Hall, London.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 163-187
    • Raftery, A.E.1
  • 10
    • 18244378520 scopus 로고    scopus 로고
    • On Bayesian analysis of mixtures with an unknown number of components (with discussion)
    • RICHARDSON, S. and GREEN, P. J. (1997). On Bayesian analysis of mixtures with an unknown number of components (with discussion). J. Roy. Statist. Soc. Ser. B 59 731-792.
    • (1997) J. Roy. Statist. Soc. Ser. B , vol.59 , pp. 731-792
    • Richardson, S.1    Green, P.J.2
  • 12
    • 0000599677 scopus 로고    scopus 로고
    • Mixtures of distributions: Inference and estimation
    • (W. R. Gilks, S. Richardson and D. J. Spiegelhalter, eds.) . Chapman and Hall, London
    • ROBERT, C. P. (1996). Mixtures of distributions: Inference and estimation. In Markov Chain Monte Carlo in Practice (W. R. Gilks, S. Richardson and D. J. Spiegelhalter, eds.) 441-464. Chapman and Hall, London.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 441-464
    • Robert, C.P.1
  • 13
    • 21744460005 scopus 로고    scopus 로고
    • Practical Bayesian density estimation using mixtures of normals
    • ROEDER, K. and WASSERMAN, L. (1997). Practical Bayesian density estimation using mixtures of normals. J. Amer. Statist. Assoc. 92 894-902.
    • (1997) J. Amer. Statist. Assoc. , vol.92 , pp. 894-902
    • Roeder, K.1    Wasserman, L.2
  • 14
    • 0034374610 scopus 로고    scopus 로고
    • Bayesian analysis of mixture models with an unknown number of components: An alternative to reversible jump methods
    • STEPHENS, M. (2000). Bayesian analysis of mixture models with an unknown number of components: An alternative to reversible jump methods. Ann. Statist. 28 40-74.
    • (2000) Ann. Statist. , vol.28 , pp. 40-74
    • Stephens, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.