Time series have been widely analyzed by statistical models (e.g., ARIMA) and machine learning techniques (e.g., LSTM). While the textbooks have provided detailed explanations on the individual models/techniques, it is relatively difficult to find a good example showing how to do a GOOD time series analysis, especially forecasting, on a complicated real-world problem.

I would like to know if:

  1. there are some reviews/surveys about HOW WELL the time series forecasting has been done in specific domains (e.g., stock movement, atmosphere forecasting, topic trend prediction, future sales).

  2. there are some good data mining competitions or projects on time series forecasting with example solutions so that I can refer to.

  • $\begingroup$ Hello. Welcome to AI SE. It seems to me that you're asking 2 questions here. However, ideally, each post should contain only 1 specific main question. So, I would suggest that you remove one of your questions/requests, and create a separate post for that one. $\endgroup$
    – nbro
    Jun 21 at 23:37

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