New Publication: Quantile Super Learner in CSDA

Antoine Chambaz and I had our work on Quantile Super Learner published in Computational Statistics & Data Analysis. We establish theoretical guarantees for Super Learner ensembles (also known as model stacking) built to estimate conditional quantiles, and apply the method to some real-world applications relevant to solar forecasting.