Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection
A framework for this localization problem is developed by assigning to each observation its conditional or marginal contribution across random statistical contexts, which connects resampling diagnostics and data valuation to projection theory and event-level anomaly detection.
Tommaso Dorigo
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