© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
J. KorstanjeAdvanced Forecasting with Pythonhttps://doi.org/10.1007/978-1-4842-7150-6_3

3. The AR Model

Joos Korstanje1  
(1)
Maisons Alfort, France
 

In this chapter, you will discover the AR model: the autoregressive model. The AR model is the most basic building block of univariate time series. As you have seen before, univariate time series are a family of models that use only information about the past of the target variable to forecast its future, and they do not rely on other explanatory variables.

Univariate time series models can be intuitively understood as building blocks: they add up from the simplest model to complex models that combine the different ...

Get Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.