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MODEL-FREE FORWARD SCREENING VIA CUMULATIVE DIVERGENCE
Feature screening plays an important role in the analysis of ultrahigh dimensional data. Due to complicated model structure and high noise level, existing screening methods often suffer from model misspecification and the presence of outliers. To address these issues, we introduce a new metric named...
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| Publicado no: | J Am Stat Assoc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7821979/ https://ncbi.nlm.nih.gov/pubmed/33487782 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2019.1632078 |
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