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Sparse partial robust M regression
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DOI：10.1016/j.chemolab.2015.09.019.png)
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摘要
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Sparse partial robust M regression is introduced as a new regression method. It is the first dimension reduction and regression algorithm that yields estimates with a partial least squares like interpretability that are sparse and robust with respect to both vertical outliers and leverage points. A simulation study underpins these claims. Real data examples illustrate the validity of the approach. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Biplot
Partial least squares
Robustness
Sparse estimation
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