Robust Modeling Framework for Principal Fitted Component Poisson Regression: Addressing Ill-Conditioned Features and Anomalies
Abstract Principal Component Regression (PCR) is widely used to address multicollinearity and high-dimensional data challenges in regression modeling. However, its predictive capability is limited because it constructs Principal Components (PCs) without considering the response variable. PC Poisson...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer
2025-10-01
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| Serier: | Journal of Statistical Theory and Applications (JSTA) |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/s44199-025-00123-0 |
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