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Scalar-on-Image Regression via the Soft-Thresholded Gaussian Process
This work concerns spatial variable selection for scalar-on-image regression. We propose a new class of Bayesian nonparametric models and develop an efficient posterior computational aigorithm. The proposed soft-thresholded Gaussian process provides large prior support over the class of piecewise-sm...
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| Publicado en: | Biometrika |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6345249/ https://ncbi.nlm.nih.gov/pubmed/30686828 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asx075 |
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