Autoregressive Models

Autoregressive models are a class of machine learning (ML) models that automatically predict the next component in a sequence by measuring previous inputs in the sequence.Autoregression is a statistical technique used in time series analysis that assumes that the current value of a time series is a function of its past values. Autoregressive models use similar mathematical techniques to determine the probabilistic correlations between elements in a series. They then use the acquired knowledge to guess the next element in an unknown series.