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Robust Ridge regression/Evidence
Method evidence record

Robust Ridge regression

Robust Ridge regression combines M-estimation with L2 (ridge) regularization to produce coefficient estimates that are simultaneously resistant to outliers and stable under multicollinearity. It minimizes a robust loss function (such as Huber's) penalized by the squared norm of the coefficient vector, downweighting influential observations while shrinking correlated predictors toward zero.

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Robust Ridge Regression
Taxonomic method record · regression-model / statistics
  • Silvapulle, M. J. (1991). Robust ridge regression based on an M-estimator. Australian Journal of Statistics, 33(3), 319–333. · URL
  • Ridge regression. Wikipedia. · URL
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Related methods

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Taxonomic bucketElastic Net Regressionmachine-suggested · Relational suggestion, not evidence.See alsoLasso Regressionmachine-suggested · Relational suggestion, not evidence.See alsoRidge Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Multiple linear regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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