The inequality trivially holds for α 0. 5, so we only focus on the case when α < 0. 5. If the nonconformity score's rank has no temporal dependence, we have Remarks The alternative update rule in Eq. 37 is not just used to prove Theorem 4.4. This is because Eq. 37 does not become more conservative on average Note that with Eq. 9, we have a T α + α + γ γT (47) By taking the limit of both sides, we are done. The task is to predict the (allowed) claim amount for the next visit. It has hourly temperature and electricity load data for one utility.

A canonical example in healthcare is predicting patient outcomes using physiological time-series data, where a population of patients composes a cross-section.