In an autoregression model, we forecast the variable of interest using a linear combination of past values of the variable. The term autoregression indicates that it is a regression of the variable against itself. ... This is like a multiple regression but with lagged values of yt as predictors.

How do you describe an autoregressive model?

What is an Autoregressive Model? An autoregressive (AR) model predicts future behavior based on past behavior. It's used for forecasting when there is some correlation between values in a time series and the values that precede and succeed them.

What is autoregressive model medium?

Patrizia Castagno. Autoregressive model or AR model, is a representation of a type of random process. This model is useful to predict the future based on the past behaviour. For example this model can be used to describe certain time-varying processes in nature, economics, etc.