An autoregressive model is a category of machine learning models in which algorithms predict future data based on a series of their own past data. The core ideas date back to the early 1900s when an ...

This study bridges classical time-series econometrics with modern machine learning by establishing theoretical performance guarantees for recurrent neural networks (RNNs) applied to complex ...