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Robust Adaptive Lasso method for parameter’s estimation and variable selection in high-dimensional sparse models

High dimensional data are commonly encountered in various scientific fields and pose great challenges to modern statistical analysis. To address this issue different penalized regression procedures have been introduced in the litrature, but these methods cannot cope with the problem of outliers and...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:PLoS One
Egile Nagusiak: Wahid, Abdul, Khan, Dost Muhammad, Hussain, Ijaz
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2017
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC5573134/
https://ncbi.nlm.nih.gov/pubmed/28846717
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0183518
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