方法证据记录
Time-varying parameter ARMA model
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Time-Varying Parameter Autoregressive Moving Average Model
分类方法记录 · regression-model / econometrics
- Cooley, T. F., & Prescott, E. C. (1976). Estimation in the presence of stochastic parameter variation. Econometrica, 44(1), 167–184. · DOI 10.2307/1911389
- Harvey, A. C. (1989). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. · ISBN 9780521405737
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