A robust outlier identification algorithm for mixed continuous-ordinal data that extends the Minimum Covariance Determinant estimator to latent Gaussian models for ordinals, supported by a breakdown theorem and simulation results.
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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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A unified approach to outlier identification for mixed-type data
A robust outlier identification algorithm for mixed continuous-ordinal data that extends the Minimum Covariance Determinant estimator to latent Gaussian models for ordinals, supported by a breakdown theorem and simulation results.
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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.