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Improved two-stage model averaging for high-dimensional linear regression, with application to Riboflavin data analysis
BACKGROUND: Model averaging has attracted increasing attention in recent years for the analysis of high-dimensional data. By weighting several competing statistical models suitably, model averaging attempts to achieve stable and improved prediction. In this paper, we develop a two-stage model averag...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992957/ https://www.ncbi.nlm.nih.gov/pubmed/33765925 http://dx.doi.org/10.1186/s12859-021-04053-3 |