Proposed a hierarchical forecasting scheme to forecast yearly college enrollment regarding race/ethnicity.
Created a bisecting hierarchical clustering algorithm to cluster time series and implemented the algorithm.
Performed hierarchical forecasting using statistical models.
Increased the forecast accuracy by 15% compared to the conventional enrollment forecasting scheme.
Provided a new method for institutions to modify their fairness presentation across groups by aggregating data.