It’s not necessarily an autoregressive process because we are fitting a model of the form y_W = X_W\beta_W + \epsilon that only covers a window W of the data and the design matrix does not necessarily contains lags of y. The window is moving and as it does, a new vector \beta_W is computed and stored.