arima models
ARIMA stands for Autoregressive Integrated Moving Average models. These are statistical techniques used for time series forecasting. ARIMA models capture the patterns and dependencies in a given time series data by considering the previous values, differencing the series to make it stationary, and incorporating moving averages. They are widely employed in various domains to predict future values of a time-dependent variable based on its historical data.
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