A robust deterministic affine-equivariant algorithm for multivariate location and scatter
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Publication:2142999
DOI10.1016/j.csda.2022.107475OpenAlexW4221098248MaRDI QIDQ2142999
Michael Pokojovy, J. Marcus Jobe
Publication date: 30 May 2022
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2022.107475
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- Central limit theorem and influence function for the MCD estimators at general multivariate distributions
- The complexity of computing the MCD-estimator
- The minimum weighted covariance determinant estimator
- Separating a mixture of two normals with proportional covariances
- Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
- Small sample corrections for LTS and MCD
- New algorithms for \(M\)-estimation of multivariate scatter and location
- Exploratory tools for clustering multivariate data
- Projection pursuit
- A distribution-free M-estimator of multivariate scatter
- Improved feasible solution algorithms for high breakdown estimation.
- Asymptotics for the minimum covariance determinant estimator
- Asymptotics of reweighted estimators of multivariate location and scatter
- Influence function and efficiency of the minimum covariance determinant scatter matrix estimator
- COBS: qualitatively constrained smoothing via linear programming
- Rejoinder to the discussion of ``The power of monitoring: how to make the most of a contaminated multivariate sample
- Finding an Unknown Number of Multivariate Outliers
- Optimization with PDE Constraints
- Identification of Outliers in Multivariate Data
- The multivariate L 1 -median and associated data depth
- Multivariate Outlier Detection With High-Breakdown Estimators
- Sign and rank covariance matrices
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