We consider the functional estimation problem for a nonlinear nonstationary regression model by using the empirical likelihood-based methods.
In this talk, we construct the confidence interval for the unknown regression function and give the asymptotic distribution of the empirical likelihood estimator. Some simulation results are presented to investigate the finite performance of the proposed methods.