In time series analysis, what other models could be used in place of ARIMA?

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Anonymous · Accepted Answer

With larger and more complex datasets, one could use NN, as LSTM or GNN for
example. If some fundamental model is available one can also use differential
equations systems. Finally, one can also build like a non-linear ARIMA type, by
using lags for example as features.

In time series analysis, what other models could be used in place of ARIMA?

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