Asymptotic normality of wavelet estimator for strong mixing errors

Abstract In this paper, we consider a non-parametric fixed design regression model based on strong mixing sequences. We use a new tool presented in the literature recently for the weighted sum estimate, and establish the asymptotic normality of a wavelet estimator for an unknown regression function.