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Volumn 23, Issue 6, 2002, Pages 733-751

A state space approach to bootstrapping conditional forecasts in ARMA models

Author keywords

Bootstrap; Forecasting; Prediction errors; Simulation; State space

Indexed keywords


EID: 0039486626     PISSN: 01439782     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9892.00288     Document Type: Article
Times cited : (24)

References (14)
  • 1
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    • (1989)
    • AOKI, M.1
  • 2
    • 0039318888 scopus 로고
    • On backcasting in linear time series
    • 2 BREIDT, J., DAVIS, R. and DUNSMUIR, W. (1992) On backcasting in linear time series. In New Directions in Time Series Analysis, Vol. 1, (eds D. Brillinger et al.). New York: Springer‐Verlag, 25–40.
    • (1992)
    • BREIDT, J.1    DAVIS, R.2    DUNSMUIR, W.3
  • 3
    • 85120592324 scopus 로고
    • 3 CAINES, P. E. (1988) Linear Stochastic Systems. New York: John Wiley & Sons.
    • (1988)
    • CAINES, P.E.1
  • 5
    • 0007106060 scopus 로고
    • On bootstrap estimates of forecast mean square errors for autoregressive processes
    • 5 FINDLEY, D. (1986) On bootstrap estimates of forecast mean square errors for autoregressive processes. In Computer Science and Statistics. The interface, (ed. D. Allen), Amsterdam, North‐Holland, 11–17.
    • (1986)
    • FINDLEY, D.1
  • 6
    • 0039807799 scopus 로고
    • The asymptotic distribution theory of the empiric c.d.f. for mixing processes
    • 6 GASTWIRTH, J. L. and RUBIN, H. (1975) The asymptotic distribution theory of the empiric c.d.f. for mixing processes. Annals of Statistics 3, 809–24.
    • (1975) Annals of Statistics , vol.3 , pp. 809-24
    • GASTWIRTH, J.L.1    RUBIN, H.2
  • 7
    • 84981478353 scopus 로고
    • On bootstrap predictive inference for autoregressive processes
    • 7 KABAILA, P. (1993) On bootstrap predictive inference for autoregressive processes. Journal of Time Series Analysis 14 (5), 473–84.
    • (1993) Journal of Time Series Analysis , vol.14 , pp. 473-84
    • KABAILA, P.1
  • 8
    • 84979368477 scopus 로고
    • Bootstrapping forecasting intervals: An application to AR(p) Models
    • 8 MCCULLOUGH, B. D. (1994) Bootstrapping forecasting intervals: An application to AR(p) Models. Journal of Forecasting 13 (1), 51–66.
    • (1994) Journal of Forecasting , vol.13 , pp. 51-66
    • MCCULLOUGH, B.D.1
  • 9
    • 0040463050 scopus 로고    scopus 로고
    • Consistent forecast intervals when the forecast‐period exogenous variables are stochastic
    • ——( 1996) Consistent forecast intervals when the forecast‐period exogenous variables are stochastic. Journal of Forecasting 15 (4), 293–304.
    • (1996) Journal of Forecasting , vol.15 , pp. 293-304
  • 11
    • 0011520418 scopus 로고
    • Bootstrapping state‐space models: Gaussian maximum likelihood estimation and the Kalman filter
    • 11 STOFFER, D. S. and WALL, K. D. (1991) Bootstrapping state‐space models: Gaussian maximum likelihood estimation and the Kalman filter. Journal of the American Statistical Association 86 (416), 1024–33.
    • (1991) Journal of the American Statistical Association , vol.86 , pp. 1024-33
    • STOFFER, D.S.1    WALL, K.D.2
  • 13
    • 84986765257 scopus 로고
    • Identification theory for varying coefficient regression models
    • 13 WALL, K. D. (1987) Identification theory for varying coefficient regression models. Journal of Time Series Analysis 8 (3), 359–71.
    • (1987) Journal of Time Series Analysis , vol.8 , pp. 359-71
    • WALL, K.D.1
  • 14
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    • Note on the Kalman filter with estimated parameters
    • 14 WATANABE, N. (1985) Note on the Kalman filter with estimated parameters. Journal of Time Series Analysis 6 (3), 269–78.
    • (1985) Journal of Time Series Analysis , vol.6 , pp. 269-78
    • WATANABE, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.