> Whenever I teach people time series forecasting, I always point out that one of the biggest challenges is that you will always have values at prediction time that are out side the range of values observed during training (specifically the value of t).
I don't get this, time is usually not a covariate in ts models, so why is it a challenge?
I don't get this, time is usually not a covariate in ts models, so why is it a challenge?