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Volumn 32, Issue 1, 1997, Pages 107-114

Computing the observed information in the hidden markov model using the EM algorithm

Author keywords

EM algorithm; Hidden markov model; Information

Indexed keywords


EID: 0031566918     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0167-7152(96)00062-4     Document Type: Article
Times cited : (17)

References (13)
  • 1
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    • A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains
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    • (1970) Ann. Math. Statist. , vol.41 , pp. 164-171
    • Baum, L.E.1    Petrie, T.2    Soules, G.3    Weiss, N.4
  • 2
    • 0024557590 scopus 로고
    • Stochastic models for heterogeneous dna sequences
    • Churchill, G.A. (1989), Stochastic models for heterogeneous DNA sequences, Bull. Math. Biol. 51, 79-94.
    • (1989) Bull. Math. Biol. , vol.51 , pp. 79-94
    • Churchill, G.A.1
  • 3
    • 0002629270 scopus 로고
    • Maximum likelihood estimation from incomplete data via the em algorithm
    • Dempster, A.P., N.M. Laird and D.B. Rubin (1977), Maximum likelihood estimation from incomplete data via the EM algorithm (with discussion), J. Roy. Statist. Soc. B 39, 1-38.
    • (1977) J. Roy. Statist. Soc. B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 5
    • 0026206264 scopus 로고
    • Hidden markov models for speech recognition
    • Juang, B.H. and L.R. Rabiner (1991), Hidden Markov models for speech recognition, Technometrics 33, 251-272.
    • (1991) Technometrics , vol.33 , pp. 251-272
    • Juang, B.H.1    Rabiner, L.R.2
  • 6
    • 0001044972 scopus 로고
    • Finding the observed information matrix when using the em algorithm
    • Louis, T.A. (1982), Finding the observed information matrix when using the EM algorithm, J. Roy. Statist. Soc. B 44, 226-233.
    • (1982) J. Roy. Statist. Soc. B , vol.44 , pp. 226-233
    • Louis, T.A.1
  • 7
    • 0001232538 scopus 로고
    • A fast improvement to the em algorithm on its own terms
    • Meilijson, I. (1989), A fast improvement to the EM algorithm on its own terms, J. Roy. Statist. Soc. B 51, 127-138.
    • (1989) J. Roy. Statist. Soc. B , vol.51 , pp. 127-138
    • Meilijson, I.1
  • 8
    • 84864615423 scopus 로고
    • Using em to obtain asymptotic variance-covariance matricies: The sem algorithm
    • Meng, X., D.B. Rubin (1991), Using EM to obtain asymptotic variance-covariance matricies: The SEM algorithm, J. Amer. Statist. Assoc. 86, 899-909.
    • (1991) J. Amer. Statist. Assoc. , vol.86 , pp. 899-909
    • Meng, X.1    Rubin, D.B.2
  • 12
    • 84950442225 scopus 로고
    • Information ratios for validating mixture analyses
    • Windham, M.P. and A. Cutler (1992), Information ratios for validating mixture analyses, J. Amer. Statist. Assoc. 87, 1188-1192.
    • (1992) J. Amer. Statist. Assoc. , vol.87 , pp. 1188-1192
    • Windham, M.P.1    Cutler, A.2
  • 13
    • 0026295989 scopus 로고
    • A hidden markov model for space-time precipitation
    • Zucchini, W. and P. Guttorp (1991), A hidden Markov model for space-time precipitation, Water Resour. Res. 27, 1917-1923.
    • (1991) Water Resour. Res. , vol.27 , pp. 1917-1923
    • Zucchini, W.1    Guttorp, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.