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Vector Autoregressive Models for Multivariate Time Series

faculty.washington.edu

Multivariate Time Series 11.1 Introduction The vector autoregression (VAR) model is one of the most successful, flexi-ble, and easy to use models for the analysis of multivariate time series. It is a natural extension of the univariate autoregressive model to dynamic mul-tivariate time series. The VAR model has proven to be especially useful for

  Analysis, Multivariate, Mul tivariate, Tivariate

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