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Time-series econometric models in real-life cases
I am just curious how do you use time-series econometric models, let's say ARIMA, exponential smoothing, or TBATS, in real life? Have you ever achieved a successful model? What is the case?
I am asking mainly because of three reasons:
1- The feature engineering aspect is somehow missing relative to machine learning.
2- The model structure might be very simple, especially in the case of the univariate time-series model.
3- Except for several cases, I always ended up …!-->