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Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection
In high-dimensional model selection problems, penalized least-square approaches have been extensively used. This paper addresses the question of both robustness and efficiency of penalized model selection methods, and proposes a data-driven weighted linear combination of convex loss functions, toget...
שמור ב:
| Main Authors: | , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2011
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3094588/ https://ncbi.nlm.nih.gov/pubmed/21589849 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9868.2010.00764.x |
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