Variable selection using MM algorithms
Published in arXiv (Cornell University) • Aug 16, 2005
NobleIDNI6P00W07R58S91
Authors:,
David R. Hunter
Runze Li
Abstract
Variable selection is fundamental to high-dimensional statistical modeling. Many variable selection techniques may be implemented by maximum penalized likelihood using various penalty functions. Optimizing the penalized likelihood function is often challenging because it may be nondifferentiable and...
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