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A Hybrid Omnibus Test for Generalized Semiparametric Single-Index Models with High-Dimensional Covariate Sets()
Numerous statistical methods have been developed for analyzing high-dimensional data. These methods often focus on variable selection approaches but are limited for the purpose of testing with high-dimensional data. They are often required to have explicit likelihood functions. In this paper, we pro...
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| Publicado no: | Biometrics |
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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/PMC6736718/ https://ncbi.nlm.nih.gov/pubmed/30859553 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13054 |
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