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Model pokretnih prosjeka s vremenski promjenjivim parametrima×Model vremenski promjenjivih parametara ARIMA (TVP-ARIMA)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1990s1976–1989
TvoracHarvey, A. C.; Durbin, J. & Koopman, S. J.Cooley & Prescott (1976); Harvey (1989) state-space formulation
VrstaTime-varying state-space modelTime series model with evolving coefficients
Temeljni izvorHarvey, A. C. (1990). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 9780521321969Harvey, A. C. (1989). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 9780521405737
Drugi naziviTVP-MA model, state-space MA, Kalman filter MA, time-varying MATVP-ARIMA, time-varying ARIMA, adaptive ARIMA, state-space ARIMA
Srodne63
SažetakThe time-varying parameter moving average (TVP-MA) model extends the standard MA model by allowing the moving-average coefficients to change over time. Cast as a state-space system, it is estimated via the Kalman filter and smoother, making it well suited for series where the shock-transmission dynamics evolve across the sample.The time-varying parameter ARIMA model extends the classical ARIMA framework by allowing its autoregressive and moving-average coefficients to evolve over time rather than remaining fixed. Cast in state-space form and estimated via the Kalman filter, it is designed for economic and financial time series whose dynamic structure shifts in response to structural breaks, policy changes, or regime transitions.
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ScholarGateUsporedite metode: Time-varying parameter MA model · Time-varying parameter ARIMA model. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare