Auto-ARIMA is an automated statistical method used for time series forecasting that determines the optimal parameters for an ARIMA model without the need for extensive manual intervention. By leveraging algorithms to analyze historical data patterns, it helps in effectively modeling and predicting future values, making it particularly useful in time series analysis where trends and seasonality are present.
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