For this function in python, the documentation says:
statsmodels.tsa.stattools.arma_order_select_ic(y, max_ar=4, max_ma=2, ic='bic', trend='c', model_kw={}, fit_kw={})
Parameters:
y : array-like
Time-series data
If our data is non-stationary, should we input the original time-series data here as y
, or input the after differentiated stationary data? Thanks.
Thank you for the question, it really got me thinking. I found this explanation very helpful. Long story short: your stationary model is supposed to perform better (in terms of MSE). So, It makes sense to plug in the stationary data. Edit: Ie The differenced data
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