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Volumn 4, Issue 4, 1994, Pages 259-269

Applied state space modelling of non-Gaussian time series using integration-based Kalman filtering

Author keywords

Approximate Bayesian inference; Bayesian computation; dynamic generalized linear models; Gauss Hermite integration; Kalman filtering; model likelihood; non Gaussian time series; non normal state space models; robust filtering

Indexed keywords


EID: 0000761371     PISSN: 09603174     EISSN: 15731375     Source Type: Journal    
DOI: 10.1007/BF00156749     Document Type: Article
Times cited : (46)

References (26)
  • 3
    • 84936421942 scopus 로고    scopus 로고
    • Chiu, Ch. (1978) Applications of Kalman Filter to Hydrology, Hydraulics and Water Resources. Proceedings of AGU Chapman Conference, University of Pittsburgh.
  • 4
    • 84936402192 scopus 로고    scopus 로고
    • Durbin, J. and Koopman, S. J. (1992) Kalman filtering and smoothing for J. non-Gaussian time series. Preprint.
  • 6
    • 0002498495 scopus 로고
    • On Kalman filtering, posterior mode estimation and Fisher-scoring in dynamic exponential family regression
    • (1991) Metrika , vol.38 , pp. 37-60
    • Fahrmeir, L.1    Kaufmann, H.2
  • 10
    • 84936439666 scopus 로고    scopus 로고
    • Frühwirth-Schnatter, S. (1995) Bayesian model discrimination and Bayes factors for state space models. Accepted for publication in the Journal of the Royal Statistical Society 57.
  • 13
    • 84936390208 scopus 로고    scopus 로고
    • Harvey, A. (1989) Forecasting, Structural Time Series Models, and the Kalman Filter. Cambridge University Press.
  • 22
    • 84936378568 scopus 로고    scopus 로고
    • Smith, J. Q. (1985) Diagnostic Check of Non-standard Time Series Models. Research Report 61, Department of Statistics, University of Warwick.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.