Sign-constrained least squares estimation for high-dimensional regression
نویسندگان
چکیده
منابع مشابه
Sign-constrained least squares estimation for high-dimensional regression
Many regularization schemes for high-dimensional regression have been put forward. Most require the choice of a tuning parameter, using model selection criteria or cross-validation. We show that a simple sign-constrained least squares estimation is a very simple and effective regularization technique for a certain class of high-dimensional regression problems. The sign constraint has to be deri...
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ژورنال
عنوان ژورنال: Electronic Journal of Statistics
سال: 2013
ISSN: 1935-7524
DOI: 10.1214/13-ejs818