ScholarGate
Asistent

Uporedite metode

Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.

Model parametara koji se menja u vremenu (TVP-MA)×ARMA model (Autoregresivni pokretni prosek)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1990s1970
TvoracHarvey, A. C.; Durbin, J. & Koopman, S. J.George E. P. Box and Gwilym M. Jenkins
TipTime-varying state-space modelTime 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. (1970). Time Series Analysis: Forecasting and Control. Holden-Day. link ↗
Drugi naziviTVP-MA model, state-space MA, Kalman filter MA, time-varying MAARMA, Box-Jenkins model, autoregressive moving average, AR(p)MA(q)
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 ARMA(p,q) model describes a stationary time series as a combination of two components: an autoregressive part that regresses the current value on its own past p values, and a moving average part that accounts for past q error terms. It is the foundational framework of the Box-Jenkins methodology for univariate time series modelling and short-run forecasting.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

ScholarGateUporedite metode: Time-varying parameter MA model · ARMA model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare