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Model Rata-rata Bergerak Parameter Berubah Waktu×Time-varying parameter ARMA model×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal1990s1976
PencetusHarvey, A. C.; Durbin, J. & Koopman, S. J.Cooley & Prescott (1976); further formalised by Harvey (1989)
TipeTime-varying state-space modelState-space time series model
Sumber perintisHarvey, A. C. (1990). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 9780521321969Cooley, T. F., & Prescott, E. C. (1976). Estimation in the presence of stochastic parameter variation. Econometrica, 44(1), 167–184. DOI ↗
AliasTVP-MA model, state-space MA, Kalman filter MA, time-varying MATVP-ARMA, time-varying ARMA, state-space ARMA, locally stationary ARMA
Terkait63
RingkasanThe 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 ARMA (TVP-ARMA) model extends the classical ARMA framework by allowing the autoregressive and moving-average coefficients to evolve over time. Embedded in a state-space representation and estimated via the Kalman filter, it captures structural change and parameter instability in time series without requiring an explicit breakpoint.
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ScholarGateBandingkan metode: Time-varying parameter MA model · Time-varying parameter ARMA model. Diakses 2026-06-18 dari https://scholargate.app/id/compare