Penalized orthogonal-components regression for large p small n data
نویسندگان
چکیده
منابع مشابه
Penalized orthogonal-components regression for large p small n data
Here we propose a penalized orthogonal-components regression (POCRE) for large p small n data. Orthogonal components are sequentially constructed to maximize, upon standardization, their correlation to the response residuals. A new penalization framework, implemented via empirical Bayes thresholding, is presented to effectively identify sparse predictors of each component. POCRE is computationa...
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ژورنال
عنوان ژورنال: Electronic Journal of Statistics
سال: 2009
ISSN: 1935-7524
DOI: 10.1214/09-ejs354