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MWPCR: Multiscale Weighted Principal Component Regression for High-dimensional Prediction
We propose a multiscale weighted principal component regression (MWPCR) framework for the use of high dimensional features with strong spatial features (e.g., smoothness and correlation) to predict an outcome variable, such as disease status. This development is motivated by identifying imaging biom...
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| Veröffentlicht in: | J Am Stat Assoc |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5693262/ https://ncbi.nlm.nih.gov/pubmed/29151657 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2016.1261710 |
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