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Volumn 7, Issue 1-2, 2001, Pages 81-92

Recursive computation of smoothed functionals of hidden Markovian processes using a particle approximation

Author keywords

Expectation Maximization; Hidden Markov Models; Maximum Likelihood; Particle Filtering; Sequential Monte Carlo; State Space Model; Switching Autoregression

Indexed keywords


EID: 0141603121     PISSN: 09299629     EISSN: 15693961     Source Type: Journal    
DOI: 10.1515/mcma.2001.7.1-2.81     Document Type: Article
Times cited : (16)

References (18)
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    • Cappé, O.1    Doucet, A.2    Lavielle, M.3    Moulines, E.4
  • 4
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    • Charalambous, C. D. and Logothetis, A. (1998). New finite dimensional filters for the log-likelihood gradient, Hessian and Fisher information matrices: the discrete time case. In Proc. IEEE Conf. Decision Control, Tampa.
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    • Charalambous, C.D.1    Logothetis, A.2
  • 6
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    • De Jong, P.1
  • 8
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • with discussion
    • Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. J. Royal Statist. Soc. Ser. B, 39(1):1-38 (with discussion).
    • (1977) J. Royal Statist. Soc. Ser. B , vol.39 , Issue.1 , pp. 1-38
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  • 11
    • 0032667314 scopus 로고    scopus 로고
    • New finite dimensional filters for estimation of linear gauss-markov models
    • Elliott, R. J. and Krishnamurthy, V. (1999). New finite dimensional filters for estimation of linear gauss-markov models. IEEE Trans. Automatic Control, 44(5):938-951.
    • (1999) IEEE Trans. Automatic Control , vol.44 , Issue.5 , pp. 938-951
    • Elliott, R.J.1    Krishnamurthy, V.2
  • 13
    • 0004694060 scopus 로고    scopus 로고
    • Approximating and maximising the likelihood for a general state space model
    • Doucet, A., de Freitas, N., and Gordon, N., editors Springer
    • Hiirzeler, M. and Kunsch, H. R. (2000). Approximating and maximising the likelihood for a general state space model. In Doucet, A., de Freitas, N., and Gordon, N., editors, Sequential Monte Carlo Methods in Practice. Springer.
    • (2000) Sequential Monte Carlo Methods in Practice
    • Hiirzeler, M.1    Kunsch, H.R.2
  • 14
    • 0001251517 scopus 로고    scopus 로고
    • Stochastic volatility, likelihood inference and comparison with arch models
    • Kim, S., Shephard, N., and Chib, S. (1998). Stochastic volatility, likelihood inference and comparison with arch models. Review of Economic Studies, 65:361-394.
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    • Kim, S.1    Shephard, N.2    Chib, S.3
  • 17
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    • Filtering via simulation: Auxiliary particle filter
    • Pitt, M. K. and Shephard, N. (1999). Filtering via simulation: auxiliary particle filter. J. Amer. Statist. Assoc, 94:590-599.
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    • Pitt, M.K.1    Shephard, N.2
  • 18
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    • Exact filters for the estimation of the number of transitions of finite-state continuous-time markov processes
    • Zeitouni, O. and Dembo, A. (1988). Exact filters for the estimation of the number of transitions of finite-state continuous-time markov processes. IEEE Trans. Inform. Theory, 34(4).
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    • Zeitouni, O.1    Dembo, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.