Techniques for evaluating the performance of time series models, including measures like Mean Squared Error (MSE), Mean Absolute Error (MAE), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC) to assess the accuracy and goodness-of-fit of time series models.
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