The adaptive BerHu penalty in robust regression

We intend to combine Huber's loss with an adaptive reversed version as a penalty function. The purpose is twofold: first we would like to propose an estimator that is robust to data subject to heavy-tailed errors or outliers. Second we hope to overcome the variable selection problem in the pres...

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Bibliographic Details
Published inJournal of nonparametric statistics Vol. 28; no. 3; pp. 487 - 514
Main Authors Lambert-Lacroix, Sophie, Zwald, Laurent
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 02.07.2016
Taylor & Francis Ltd
American Statistical Association
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