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This lecture covers the concept of Vector Autoregression (VAR) in time series analysis. It explains the generating mechanism of VAR, sampling properties, and provides examples of VAR processes. The lecture also discusses the stability of VAR models and the Yule-Walker equations for VAR(p) models.