Improved two-stage model averaging for high-dimensional linear regression, with application to Riboflavin data analysis
Abstract 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 mode...
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| Format: | Article |
| Language: | English |
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BMC
2021-03-01
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| Series: | BMC Bioinformatics |
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| Online Access: | https://doi.org/10.1186/s12859-021-04053-3 |