ML Pills
  • Home
  • Blog
  • Cheatsheets
  • Newsletter
  • DIY
  • Interview Questions
  • Contact
  • X content

exogenous

Time Series

Time Series Forecasting with Facebook Prophet III

In the previous part of our Facebook Prophet series, we covered how to model the seasonality component. You should also recall the first part, in which we dealt with trend modelling. In this article, we’ll focus on how we can add exogenous variables to our model. They are also known Read more…

By David Andrés, 2 yearsJune 1, 2023 ago
Time Series

Exogenous variables in ARIMA models

ARIMA models are very powerful for forecasting time series data when this data is univariate. However, there is a type of ARIMA model that can also consider other variables. This type of model is called ARIMAX, which stands for “Auto-Regressive Integrated Moving Average with eXogenous variables”. ARIMAX is an extension Read more…

By David Andrés, 2 yearsFebruary 2, 2023 ago

  • #2335 (no title)
  • Blog
  • Blog
  • Cheat sheets
  • Contact
  • Contacto
  • DIY
  • Hello
  • Home
  • Interview Questions
  • Newsletter
  • Newsletter en Español
  • Principal
  • X content
  • David Andrés Sánchez
  • David Andrés Sánchez
Copyright MLPills 2022-2023, all rights reserved