Vector Autoregressive Models:
Consider a vector time series :
In general, vector autoregressive models assume the some functional relation between the current value V(i) and N previous values:
where F() is a vector function of N vector arguments, n(i) is a vector of additive noise. The integer N here is called the order of the autoregressive model.