Using a high-powered black-box technique to regress a one-dimensional continuous outcome against a one-dimensional continuous predictor seems misguided.
I don’t get this. You could have a rather complicated generator for this data set. A simple regression would imply the data points were independent, but the value at time T may have [likely has] a relation to value at T-3. So it seems a good problem to me.
I don’t get this. You could have a rather complicated generator for this data set. A simple regression would imply the data points were independent, but the value at time T may have [likely has] a relation to value at T-3. So it seems a good problem to me.