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Dimension reduced kernel estimation for distribution function with incomplete data
This work focuses on the estimation of distribution functions with incomplete data, where the variable of interest Y has ignorable missingness but the covariate X is always observed. When X is high dimensional, parametric approaches to incorporate X — information is encumbered by the risk of model m...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3127551/ https://ncbi.nlm.nih.gov/pubmed/21731174 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jspi.2011.03.030 |
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