Christian M. Dahl

Time Series (re)sampling using Generative Adversarial Networks

2021 · arXiv (Cornell University)

We propose a novel bootstrap procedure for dependent data based on Generative Adversarial networks (GANs). We show that the dynamics of common stationary time series processes can be learned by GANs and demonstrate that GANs …