Outlier detection via a minimum ridge covariance determinant estimator

DOI10.5705/ss.202022.0142MaRDI QIDQ6621343

Chikun Li, Baisuo Jin, Yuehua Wu

Publication date: 18 October 2024

Published in: STATISTICA SINICA (Search for Journal in Brave)

zbMATH Keywords

random matriceshigh dimensionminimum covariance determinant estimator

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• The minimum regularized covariance determinant estimator
• Central limit theorem and influence function for the MCD estimators at general multivariate distributions
• Random covariance matrices: universality of local statistics of eigenvalues
• Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
• Small sample corrections for LTS and MCD
• Propagation of outliers in multivariate data
• Outlier identification in high dimensions
• Spectral analysis of large dimensional random matrices
• Projection estimates of multivariate location
• CLT for linear spectral statistics of large-dimensional sample covariance matrices.
• Influence function and efficiency of the minimum covariance determinant scatter matrix estimator
• Outlier detection via a block diagonal product estimator
• A Regularized Hotelling’sT²Test for Pathway Analysis in Proteomic Studies
• Outlier detection for high-dimensional data
• Alternatives to the Median Absolute Deviation
• Robust Statistics
• Thresholding-based outlier detection for high-dimensional data
• Multivariate Outlier Detection With High-Breakdown Estimators
• Ridgelized Hotelling’s T² test on mean vectors of large dimension
• Identification of outlying observations for large-dimensional data

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