The Autoregressive (AR) Model is a type of statistical model used for analyzing and forecasting time series data by regressing the variable of interest on its own lagged values.
A comprehensive overview of the autoregressive process, including its historical context, types, key events, detailed explanations, mathematical formulas, importance, and applicability in various fields.
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