most citedEnhancing Variable Importance in Random Forests: A Novel Application of Global Sensitivity Analysis

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stat.ME2026

Learning Global Sensitivity Indices from Observational Data: A Metamodel-Based Approach

Giulia Vannucci

Classical variance-based Global Sensitivity Analysis (GSA) assumes that the input--output mechanism can be repeatedly evaluated under a designed sampling scheme, which is infeasibl…