What are the applications of ARIMA models in time series forecasting?
ARIMA models are widely used for forecasting in various fields such as finance, economics, and environmental science.
Can you give me an example of how ARIMA is used in finance?
Sure! In finance, ARIMA can be used to predict stock prices or economic indicators like GDP.
What are the advantages of using ARIMA over other forecasting methods?
ARIMA is flexible and can model different types of time series data, making it suitable for many applications.
Are there any limitations to using ARIMA models?
Yes, ARIMA requires stationary data and can be complex to tune, which may limit its effectiveness in some cases.
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