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Novel Harmonic Regularization Approach for Variable Selection in Cox's Proportional Hazards Model

Variable selection is an important issue in regression and a number of variable selection methods have been proposed involving nonconvex penalty functions. In this paper, we investigate a novel harmonic regularization method, which can approximate nonconvex Lq  (1/2 < q < 1) regularizations, t...

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Detalles Bibliográficos
Autores principales: Chu, Ge-Jin, Liang, Yong, Wang, Jia-Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259133/
https://www.ncbi.nlm.nih.gov/pubmed/25506389
http://dx.doi.org/10.1155/2014/857398