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Vector Autoregressive Models for Multivariate Time Series

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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