Adaptive deep learning for nonlinear time series models

Daisuke Kurisu, Riku Fukami, Yuta Koike

In this paper, we develop a general theory for adaptive nonparametric estimation of the mean function of a non-stationary and nonlinear time series model using deep neural networks…