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Likelihood-based selection and sharp parameter estimation

In high-dimensional data analysis, feature selection becomes one means for dimension reduction, which proceeds with parameter estimation. Concerning accuracy of selection and estimation, we study nonconvex constrained and regularized likelihoods in the presence of nuisance parameters. Theoretically,...

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Bibliografische gegevens
Hoofdauteurs: Shen, Xiaotong, Pan, Wei, Zhu, Yunzhang
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2012
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3378256/
https://ncbi.nlm.nih.gov/pubmed/22736876
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2011.645783
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