Auto-regression Models

Auto-regression models are basically statistical models that predict future data points by taking cues from past data points. They are used for forecasting time series data. The main idea behind this is that each successive value in the series can be predicted based on the linear combination of past values. Auto-regression models are widely used for predicting weather conditions, stock prices, and analyzing business cycles.