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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...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | 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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