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Robust Ridge Regression

Robust Ridge regression kombinerer M-estimering med L2 (ridge) regularisering for at producere koefficientestimater, der er simultant modstandsdygtige over for outliers og stabile under multikollinearitet. Den minimerer en robust tabsfuntion (såsom Hubers) med en straf fra den kvadrerede norm af koefficientvektoren, hvilket nedvægter indflydelsesrige observationer, mens korrelerede prædiktorer krympes mod nul.

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Kilder

  1. Silvapulle, M. J. (1991). Robust ridge regression based on an M-estimator. Australian Journal of Statistics, 33(3), 319–333. link
  2. Ridge regression. Wikipedia. link

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Ridge Regression. ScholarGate. https://scholargate.app/da/statistics/robust-ridge-regression

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ScholarGateRobust Ridge regression (Robust Ridge Regression). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/robust-ridge-regression · Datasæt: https://doi.org/10.5281/zenodo.20539026