Theo Bourdais

Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models

Whether deterministic or stochastic, models can be viewed as functions designed to approximate a specific quantity of interest. We introduce Minimal Empirical Variance Aggregation (MEVA), a data-driven framework that integrates predictions from various models, enhancing overall accuracy by leveragi…