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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Published in | Journal of nonparametric statistics Vol. 28; no. 3; pp. 487 - 514 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis
02.07.2016
Taylor & Francis Ltd American Statistical Association |
Subjects | |
Online Access | Get full text |
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