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Smooth Scalar-on-Image Regression via Spatial Bayesian Variable Selection

We develop scalar-on-image regression models when images are registered multidimensional manifolds. We propose a fast and scalable Bayes inferential procedure to estimate the image coefficient. The central idea is the combination of an Ising prior distribution, which controls a latent binary indicat...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Goldsmith, Jeff, Huang, Lei, Crainiceanu, Ciprian M.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2014
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3979628/
https://ncbi.nlm.nih.gov/pubmed/24729670
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2012.743437
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