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stat.ME2023
Random Measures, ANOVA Models and Quantifying Uncertainty in Randomized Controlled Trials
Caleb Deen Bastian, Herschel Rabitz, Grzegorz A Rempala
The paper introduces a novel approach to global sensitivity analysis, grounded in the variance-covariance structure of random variables derived from random measures. The proposed m…
stat.ME2018
High Dimensional Model Representation as a Glass Box in Supervised Machine Learning
Caleb Deen Bastian, Herschel Rabitz
Prediction and explanation are key objects in supervised machine learning, where predictive models are known as black boxes and explanatory models are known as glass boxes. Explana…