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Herb Susmann · May 13, 2025

New Publication: Quantile Super Learner in CSDA

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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.

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.

Read on /news/quantile-super-learner/

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