Nonparametric lag selection for nonlinear additive autoregressive models

►A nonparametric lag selection method for additive autoregressive models is proposed. ►The final prediction error (FPE) criterion is modified for additive models. ►Conditions for the consistency of the lag selection procedure are provided. ►Simulation shows that the new method performs well compared to the unrestricted FPE.