3 ms·
Their math in their description of their data is in error: They need to state that the T_i (T with a subscript i), for i = 0, 1, 2, ..., n are distinct. More
by graycat 7y ago
Their math in their description of their data is in error: They need to state that the T_i (T with a subscript i), for i = 0, 1, 2, ..., n are distinct.
More standard would be a function d: {0, 1, ..., n} --> R^{1 x m} x {0, 1}.
- Topolomancer 7y agoSeems to be standard terminology for time series classification to me, to be honest. I think the approach would also work if there are duplicates in the data. Although the estimate would be overly optimistic, right?
- graycat 7y agoWith their notation they have not specified that the T's are unique. So, a first fix up would be just to state that the T's were distinct. And it would help to be explicit that i from 0, 1, 2, ... corresponded to increasing time. Moreover, is the data equally spaced in time? Likely, yes, and in that case, clearly say so.
- jmmcd 7y agoNo, i indexes the patient, not time. (T_0, y_0) is one patients entire time series.