Statistical Inference
Autoregressive models are a class of statistical models used to describe and predict future values in a time series based on its own past values. These models rely on the idea that current observations are influenced by previous ones, capturing the temporal dependencies inherent in time series data. By using lagged values of the variable being modeled, autoregressive models provide insights into trends and patterns, making them essential tools in econometrics and financial modeling.
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