CRTB is the first cellwise robust twoblock dimension reduction method that uses column-wise outlier pre-filtering, model-based imputation, and iteratively reweighted M-estimation to handle over 50% contaminated rows while recovering the outlier pattern and informative variables.
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Cellwise Robust Twoblock Dimension Reduction
CRTB is the first cellwise robust twoblock dimension reduction method that uses column-wise outlier pre-filtering, model-based imputation, and iteratively reweighted M-estimation to handle over 50% contaminated rows while recovering the outlier pattern and informative variables.