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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...
Gardado en:
| Publicado en: | J Am Stat Assoc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2016
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| Assuntos: | |
| Acceso en liña: | 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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