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Volumn 55, Issue 2, 2003, Pages 409-422

Parameter estimation in general state-space models using particle methods

Author keywords

Optimal filtering; Parameter estimation; Sequential Monte Carlo; State space models; Stochastic approximation

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTER SIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; RANDOM PROCESSES; STATE SPACE METHODS;

EID: 0141803858     PISSN: 00203157     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1026390323638     Document Type: Conference Paper
Times cited : (166)

References (22)
  • 3
    • 12444272206 scopus 로고    scopus 로고
    • Stochastic particle methods for linear tangent equations
    • eds.J. Menaldi,E. Rofman andA. Sulem, IOS Press, Amsterdam
    • Cérou, F., LeGland, F. and Newton, N. J. (2001). Stochastic particle methods for linear tangent equations, Optimal Control and PDE's - Innovations and Applications (eds. J. Menaldi, E. Rofman and A. Sulem), 231-240, IOS Press, Amsterdam.
    • (2001) Optimal Control and PDE's - Innovations and Applications , pp. 231-240
    • Cérou, F.1    Legland, F.2    Newton, N.J.3
  • 4
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • Doucet, A., Godsill, S. J. and Andrieu, C. (2000). On sequential Monte Carlo sampling methods for Bayesian filtering, Statist. Comput., 10, 197-208.
    • (2000) Statist. Comput. , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.J.2    Andrieu, C.3
  • 6
    • 0034354798 scopus 로고    scopus 로고
    • Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives (with discussion)
    • Durbin, J. and Koopman, S. J. (2000). Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives (with discussion), J. Roy. Statist. Soc. Ser. B, 62, 3-56.
    • (2000) J. Roy. Statist. Soc. Ser. B , vol.62 , pp. 3-56
    • Durbin, J.1    Koopman, S.J.2
  • 7
    • 0035648076 scopus 로고    scopus 로고
    • Following a moving target - Monte Carlo inference for dynamic Bayesian models
    • Gilks, W. R. and Berzuini, C. (2001). Following a moving target - Monte Carlo inference for dynamic Bayesian models, J. Roy. Statist. Soc. Ser. B, 63, 127-146.
    • (2001) J. Roy. Statist. Soc. Ser. B , vol.63 , pp. 127-146
    • Gilks, W.R.1    Berzuini, C.2
  • 8
    • 0027580559 scopus 로고
    • Novel approach to nonlinear non-Gaussian Bayesian state estimation
    • Gordon, N. J., Salmond, D. J. and Smith, A. F. M. (1993). Novel approach to nonlinear non-Gaussian Bayesian state estimation, IEE Proceedings F, 140, 107-113.
    • (1993) IEE Proceedings F , vol.140 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 9
    • 84962984403 scopus 로고
    • Multivariate stochastic variance models
    • Harvey, A. C., Ruiz, E. and Shephard, N. (1994). Multivariate stochastic variance models, Rev. Econom. Stud., 61, 247-264.
    • (1994) Rev. Econom. Stud. , vol.61 , pp. 247-264
    • Harvey, A.C.1    Ruiz, E.2    Shephard, N.3
  • 10
    • 0031294907 scopus 로고    scopus 로고
    • Monte Carlo filter using the genetic algorithm operators
    • Higuchi, T. (1997). Monte Carlo filter using the genetic algorithm operators, J. Statist. Comput. Simulation, 59, 1-23.
    • (1997) J. Statist. Comput. Simulation , vol.59 , pp. 1-23
    • Higuchi, T.1
  • 13
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • Kitagawa, G. (1996). Monte Carlo filter and smoother for non-Gaussian nonlinear state space models, J. Comput. Graph. Statist., 5, 1-25.
    • (1996) J. Comput. Graph. Statist. , vol.5 , pp. 1-25
    • Kitagawa, G.1
  • 14
    • 0032347276 scopus 로고    scopus 로고
    • A self-organizing state-space model
    • Kitagawa, G. (1998). A self-organizing state-space model, J. Amer. Statist. Assoc., 93, 1203-1215.
    • (1998) J. Amer. Statist. Assoc. , vol.93 , pp. 1203-1215
    • Kitagawa, G.1
  • 15
    • 0001627420 scopus 로고    scopus 로고
    • Smoothness Priors Analysis of Time Series
    • Springer, New York
    • Kitagawa, G. and Gersch, W. (1996). Smoothness Priors Analysis of Time Series, Lecture Notes in Statist., Vol. 116, Springer, New York.
    • (1996) Lecture Notes in Statist. , vol.116
    • Kitagawa, G.1    Gersch, W.2
  • 17
    • 0032359151 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods for dynamic systems
    • Liu, J. S. and Chen, R. (1998). Sequential Monte Carlo methods for dynamic systems, J. Amer. Statist. Assoc., 93, 1032-1043.
    • (1998) J. Amer. Statist. Assoc. , vol.93 , pp. 1032-1043
    • Liu, J.S.1    Chen, R.2
  • 18
    • 0001225908 scopus 로고    scopus 로고
    • Combined parameter and state estimation in simulation-based filtering
    • eds. A. Doucet, J. F. G. de Freitas and N. J. Gordon, Springer, New York
    • Liu, J. and West, M. (2001). Combined parameter and state estimation in simulation-based filtering, Sequential Monte Carlo Methods in Practice (eds. A. Doucet, J. F. G. de Freitas and N. J. Gordon), 197-223, Springer, New York.
    • (2001) Sequential Monte Carlo Methods in Practice , pp. 197-223
    • Liu, J.1    West, M.2
  • 20
    • 1542427941 scopus 로고    scopus 로고
    • 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.
    • (1999) J. Amer. Statist. Assoc. , vol.94 , pp. 590-599
    • Pitt, M.K.1    Shephard, N.2
  • 21
    • 0034439674 scopus 로고    scopus 로고
    • Asymptotic analysis of stochastic approximation algorithms under violated Kushner-Clark conditions
    • Tadić, V. B. (2000). Asymptotic analysis of stochastic approximation algorithms under violated Kushner-Clark conditions, Proceedings of 39th IEEE Conference on Decision and Control, 2875-2880.
    • (2000) Proceedings of 39th IEEE Conference on Decision and Control , pp. 2875-2880
    • Tadić, V.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.