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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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| Publicat a: | J Am Stat Assoc |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2014
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| Matèries: | |
| Accés en línia: | 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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