27/5/2025

 27/5/2025

Continue to study the ARIMA model in depth, focusing on learning how to use ACF (autocorrelation function) and PACF (partial autocorrelation function) graphs to judge the parameter settings (p, d, q) in the model. To ensure the quality of the model, start learning how to use AIC (Akaike Information Criterion) and BIC (Bayesian Information Criterion) to evaluate the pros and cons of the model under different parameter combinations and select the optimal model structure.

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21/3/2025

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19/3/2025

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