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Spatially Varying Coefficient Model for Neuroimaging Data with Jump Discontinuities
Motivated by recent work on studying massive imaging data in various neuroimaging studies, we propose a novel spatially varying coefficient model (SVCM) to capture the varying association between imaging measures in a three-dimensional (3D) volume (or 2D surface) with a set of covariates. Two styliz...
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| Publicado no: | J Am Stat Assoc |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4244662/ https://ncbi.nlm.nih.gov/pubmed/25435598 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2014.881742 |
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