메뉴 건너뛰기




Volumn 89, Issue 3, 2002, Pages 603-615

A simple and efficient simulation smoother for state space time series analysis

Author keywords

Diffuse initialisation; Disturbance smoothing; Gibbs sampling; Importance sampling; Kalman filter; Markov chain Monte Carlo

Indexed keywords


EID: 3142711588     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/89.3.603     Document Type: Article
Times cited : (420)

References (18)
  • 3
    • 0001707631 scopus 로고
    • Estimation, filtering and smoothing in state space models with incompletely specified initial conditions
    • ANSLEY, C. F. & KOHN, R. (1985). Estimation, filtering and smoothing in state space models with incompletely specified initial conditions. Ann. Statist. 13, 1286-316.
    • (1985) Ann. Statist. , vol.13 , pp. 1286-1316
    • Ansley, C.F.1    Kohn, R.2
  • 4
    • 0000193853 scopus 로고
    • On Gibbs sampling for state space models
    • CARTER, C. K. & KOHN, R. (1994). On Gibbs sampling for state space models. Biometrika 81, 541-53.
    • (1994) Biometrika , vol.81 , pp. 541-553
    • Carter, C.K.1    Kohn, R.2
  • 5
    • 0000785218 scopus 로고
    • The diffuse Kalman filter
    • DE JONG, P. (1991). The diffuse Kalman filter. Ann. Statist. 19, 1073-83.
    • (1991) Ann. Statist. , vol.19 , pp. 1073-1083
    • De Jong, P.1
  • 6
    • 0001325243 scopus 로고
    • The simulation smoother for time series models
    • DE JONG, P. & SHEPHARD, N. (1995). The simulation smoother for time series models. Biometrika 82, 339-50.
    • (1995) Biometrika , vol.82 , pp. 339-350
    • De Jong, P.1    Shephard, N.2
  • 7
    • 0000094018 scopus 로고    scopus 로고
    • Monte Carlo maximum likelihood estimation of non-Gaussian state space model
    • DURBIN, J. & KOOPMAN, S. J. (1997). Monte Carlo maximum likelihood estimation of non-Gaussian state space model. Biometrika 84, 669-84.
    • (1997) Biometrika , vol.84 , pp. 669-684
    • Durbin, J.1    Koopman, S.J.2
  • 8
    • 0034354798 scopus 로고    scopus 로고
    • Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives
    • DURBIN, J. & 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. R. Statist. Soc. B 62, 3-56.
    • (2000) J. R. Statist. Soc. B , vol.62 , pp. 3-56
    • Durbin, J.1    Koopman, S.J.2
  • 10
    • 84981426681 scopus 로고
    • Data augmentation and dynamic linear models
    • FRÜHWIRTH-SCHNATTER, S. (1994). Data augmentation and dynamic linear models. J. Time Ser. Anal. 15, 183-202.
    • (1994) J. Time Ser. Anal. , vol.15 , pp. 183-202
    • Frühwirth-Schnatter, S.1
  • 11
    • 0001053807 scopus 로고    scopus 로고
    • Markov chain Monte Carlo for dynamic generalised linear models
    • GAMERMAN, D. (1998). Markov chain Monte Carlo for dynamic generalised linear models. Biometrika 85, 215-27.
    • (1998) Biometrika , vol.85 , pp. 215-227
    • Gamerman, D.1
  • 13
    • 0002658412 scopus 로고
    • A fast algorithm for signal extraction, influence and cross-validation
    • KOHN, R. & ANSLEY, C. F. (1989). A fast algorithm for signal extraction, influence and cross-validation. Biometrika 76, 65-79.
    • (1989) Biometrika , vol.76 , pp. 65-79
    • Kohn, R.1    Ansley, C.F.2
  • 14
    • 77957888330 scopus 로고
    • Disturbance smoother for state space models
    • KOOPMAN, S. J. (1993). Disturbance smoother for state space models. Biometrika 80, 117-26.
    • (1993) Biometrika , vol.80 , pp. 117-126
    • Koopman, S.J.1
  • 15
    • 0031319753 scopus 로고    scopus 로고
    • Exact initial Kalman filtering and smoothing for non-stationary time series models
    • KOOPMAN, S. J. (1997). Exact initial Kalman filtering and smoothing for non-stationary time series models. J. Am. Statist. Assoc. 92, 1630-8.
    • (1997) J. Am. Statist. Assoc. , vol.92 , pp. 1630-1638
    • Koopman, S.J.1
  • 18
    • 0003258788 scopus 로고    scopus 로고
    • Likelihood analysis of non-Gaussian measurement time series
    • SHEPHARD, N. & PITT, M. K. (1997). Likelihood analysis of non-Gaussian measurement time series. Biometrika 84, 653-67.
    • (1997) Biometrika , vol.84 , pp. 653-667
    • Shephard, N.1    Pitt, M.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.