Derives a closed-form Shapley value for the squared robust Interval-Mahalanobis distance to explain variable contributions to outlyingness in interval-valued data.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
stat.ME 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A new outlier detection method for mixed continuous and ordinal data using latent Gaussian models and robust MCD estimation with a breakdown theorem.
citing papers explorer
-
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.
-
A unified approach to outlier identification for mixed-type data
A new outlier detection method for mixed continuous and ordinal data using latent Gaussian models and robust MCD estimation with a breakdown theorem.