An Autoregressive Model is a type of statistical model that predicts future values based on past values. For example, an autoregressive model might seek to predict a stock's future prices based on its past performance.How do autoregressive models work?Autoregressive models work by using historical data to formulate predictions about future events. The models take into account the fact that certain events tend to follow other events; this knowledge is used to make predictions about what will happen next.Why are autoregressive models useful?Autoregressive models are useful because they can help us understand and predict complex systems. By understanding how past events have influenced future events, we can better understand how the system works and make more informed decisions about what will happen in the future.
