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Volumn 16, Issue 1, 1993, Pages 77-83

Bayesian estimation of hidden Markov chains: a stochastic implementation

Author keywords

ergodicity; forward backward recursion formula; geometric convergence; Gibbs sampling; stochastic restoration

Indexed keywords


EID: 43949174023     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-7152(93)90127-5     Document Type: Article
Times cited : (114)

References (27)
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    • Asymptotic behavior of the Gibbs sampler
    • Dept. of Statist., Univ. of Chicago, Chicago, IL
    • (1991) Tech. Rept. No. 294
    • Chan1
  • 16
    • 0025872223 scopus 로고
    • On optimal order in modeling sequence of letters in words of common language as a Markov chain
    • (1991) Patt. Recogn. , vol.24 , pp. 603-608
    • Kundu1    He2
  • 19
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • (1989) Proc. of the IEEE , vol.77 , pp. 257-286
    • Rabiner1
  • 20
    • 84911244285 scopus 로고
    • Comments on Meng and Rubin's paper
    • J. Berger, J. Bernardo, R. Dawid, A.F.M. Smith, Oxford Univ. Press, Oxford
    • (1991) Bayesian Statistics , vol.4
    • Robert1
  • 25
    • 0001431082 scopus 로고
    • Some recent research in the analysis of mixture distributions
    • (1990) Statistics , vol.21 , pp. 619-641
    • Titterington1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.