Outlier Detection Using Nonconvex Penalized Regression
نویسندگان
چکیده
منابع مشابه
Outlier Detection Using Nonconvex Penalized Regression
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points. We then apply a regularization favoring a sparse vector of mean shift parameters. The usual L1 penalty yields a convex criterion, but we find that it fails to deliver a robust estimator. The L1 penalty corresponds to ...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2011
ISSN: 0162-1459,1537-274X
DOI: 10.1198/jasa.2011.tm10390