The Yule-Walker method is a statistical approach used to estimate the parameters of autoregressive (AR) models from a time series. This method relies on solving a set of linear equations derived from the autocorrelation function of the time series, enabling the estimation of AR coefficients. By utilizing this technique, researchers can effectively analyze and model the underlying processes that govern temporal data.
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