Bootstrap prediction intervals for autoregressions

Abstract The bootstrap technique is applied to obtain interval forecasts for an autoregressive time series. The relevant features of the proposed method are: (i) it is distribution-free, and (ii) it explicitly takes into account that order and parameters of the model are estimated from the data.