Robust detection of signed outliers in multivariate data with applications to early identification of risk for autism.
JE Delgado, JT Elison, NE Helwig - Psychological Methods, 2025
This article proposes an approach for detecting multivariate outliers that combines
robust estimation methods with signed detection information. Our method uses the
Mahalanobis distance to quantify each observation's extremeness from the expected
robust estimation methods with signed detection information. Our method uses the
Mahalanobis distance to quantify each observation's extremeness from the expected