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 ...

Varying-coefficient models are a flexible extension of regression methodologies in which parameters are permitted to vary smoothly with respect to one or more effect-modifying covariates, such as time ...