Variable selection for ordered categorical data in regression analysis: Information criteria vs. lasso
Variable selection in regression analysis with ordered categorical variables can be simplified by integrating some categories and introducing transformed dummy variables. This allows for the application of traditional variable selection criteria and lasso estimation. In this study, we compare the co...
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2024-12-01
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| Series: | Research in Statistics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27684520.2024.2382484 |
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