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Autoregregresný model (AR)×Vektorová autoregresia (VAR)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1970s (popularised 1976)1980
TvorcaGeorge E. P. Box and Gwilym M. JenkinsChristopher A. Sims
TypTime series modelMultivariate time-series model
Pôvodný zdrojBox, G. E. P., & Jenkins, G. M. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0816211043Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Ďalšie názvyAR model, AR(p) model, autoregression, AR processVAR, VAR model, vector autoregressive model, multivariate autoregression
Príbuzné65
ZhrnutieAn autoregressive model of order p — AR(p) — expresses the current value of a time series as a linear function of its own p most recent past values plus a white-noise error. It is the building block of the Box-Jenkins family of time-series models and is widely used for forecasting stationary economic and financial series.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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ScholarGatePorovnať metódy: Autoregressive model · Vector Autoregression. Získané 2026-06-17 z https://scholargate.app/sk/compare