Business Analytics
Autoregression is a statistical modeling technique used to predict future values of a time series based on its own past values. It relies on the principle that past behavior of the series can help forecast its future, making it essential for time series analysis. In autoregressive models, the current value of the series is expressed as a linear combination of its previous values and a stochastic error term, which adds randomness to the predictions.
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