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Model selection is a problem of judging which model from some set performs best. Popular methods include $R^2$, AIC and BIC criteria, test sets, and cross-validation. To some extent, feature selection is a subproblem of model selection.

19 votes
1 answer
2k views

Problem defining ARIMA order

This is a long post so I hope you can bear with me, and please correct me where I'm wrong. My goal is to produce a daily forecast based on 3 or 4 weeks of historical data. The data is 15 minute dat …
Peter Nijhuis's user avatar