Derives a closed-form Shapley value for the squared robust Interval-Mahalanobis distance to explain variable contributions to outlyingness in interval-valued data.
Le-Rademacher, J., Billard, L.,
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stat.ME 2years
2026 2verdicts
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A robust Minimum Covariance Determinant estimator is developed for interval-valued data that outperforms classical methods in covariance estimation and outlier detection across simulations.
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Explainable Outlier Detection for Interval-valued Data
Derives a closed-form Shapley value for the squared robust Interval-Mahalanobis distance to explain variable contributions to outlyingness in interval-valued data.
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Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued Data
A robust Minimum Covariance Determinant estimator is developed for interval-valued data that outperforms classical methods in covariance estimation and outlier detection across simulations.