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Model parametara koji se menja u vremenu (TVP-MA)×Model pokretnog proseka (MA)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1990s1970
TvoracHarvey, A. C.; Durbin, J. & Koopman, S. J.Box and Jenkins
TipTime-varying state-space modelLinear time series model
Temeljni izvorHarvey, A. C. (1990). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 9780521321969Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744
Drugi naziviTVP-MA model, state-space MA, Kalman filter MA, time-varying MAMA model, MA(q) process, moving-average process, Box-Jenkins MA
Srodne65
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 Moving Average model of order q — written MA(q) — expresses the current value of a time series as a linear combination of the current and past random shocks (innovations). Unlike the AR model which uses lagged values of the series itself, the MA model uses lagged error terms, making it well-suited for capturing short-lived disturbances that dissipate over q periods.
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ScholarGateUporedite metode: Time-varying parameter MA model · Moving Average Model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare