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Generalized Scalar-on-Image Regression Models via Total Variation
The use of imaging markers to predict clinical outcomes can have a great impact in public health. The aim of this paper is to develop a class of generalized scalar-on-image regression models via total variation (GSIRM-TV), in the sense of generalized linear models, for scalar response and imaging pr...
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| Pubblicato in: | J Am Stat Assoc |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5693263/ https://ncbi.nlm.nih.gov/pubmed/29151658 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2016.1194846 |
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