Statistical Inference
ARIMA models, or AutoRegressive Integrated Moving Average models, are a class of statistical models used for analyzing and forecasting time series data. These models capture the temporal dependencies in data by combining autoregressive and moving average components, making them particularly useful in econometrics and financial modeling for predicting future values based on past observations.
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