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Volumn 59, Issue 3, 1997, Pages 511-567

The EM algorithm - An old folk-song sung to a fast new tune

Author keywords

Data Augmentation; Expectation Conditional Maximization Algorithm; Expectation Conditional Maximization Either Algorithm; Gibbs Sampler; Incomplete Data; Markov Chain Monte Carlo Method; Missing Data; Model Reduction; Multivariate T Distributions

Indexed keywords


EID: 18244387717     PISSN: 13697412     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9868.00082     Document Type: Article
Times cited : (599)

References (12)
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  • 3
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    • Anderson, D.A.1    Hinde, J.P.2
  • 6
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    • Convergence behaviour of the EM algorithm for the multivariate t-distribution
    • Arslan, O., Constable, P. D. L. and Kent, J. T. (1995) Convergence behaviour of the EM algorithm for the multivariate t-distribution. Communs Statist. Theory Meth., 24, 2981-3000.
    • (1995) Communs Statist. Theory Meth. , vol.24 , pp. 2981-3000
    • Arslan, O.1    Constable, P.D.L.2    Kent, J.T.3
  • 7
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    • Missing values in multivariate analysis
    • Beale, E. M. L. and Little, R. J. A. (1975) Missing values in multivariate analysis. J. R. Statist. Soc. B, 37, 129-145.
    • (1975) J. R. Statist. Soc. B , vol.37 , pp. 129-145
    • Beale, E.M.L.1    Little, R.J.A.2
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  • 9
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    • On the convergence properties of the EM algorithm
    • Wu, C. F. J. (1983) On the convergence properties of the EM algorithm. Ann. Statist., II, 95-103.
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    • Wu, C.F.J.1
  • 10
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    • On convergence properties of the EM algorithm for Gaussian mixtures
    • Xu, L. and Jordan, M. I. (1996) On convergence properties of the EM algorithm for Gaussian mixtures. Neur. Comput., 8, 129-151.
    • (1996) Neur. Comput. , vol.8 , pp. 129-151
    • Xu, L.1    Jordan, M.I.2
  • 11
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    • The mean field theory in EM procedures for Markov random fields
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.