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Prediction and Variable Selection in High-Dimensional Misspecified Binary Classification
In this paper, we consider prediction and variable selection in the misspecified binary classification models under the high-dimensional scenario. We focus on two approaches to classification, which are computationally efficient, but lead to model misspecification. The first one is to apply penalize...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517038/ https://www.ncbi.nlm.nih.gov/pubmed/33286314 http://dx.doi.org/10.3390/e22050543 |