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![The spatial distribution of (a) the shared risk of YO-VC (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:{\text{e}\text{x}\text{p}(\theta\:}_{i})$$\end{document}) and (b) the YO-VC shared hotspots (Pr(exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:{\theta\:}_{i}$$\end{document}) > 1 | data)), after adjusting for ethnic heterogeneity, residential mobility, and government transfer payments](publication/385387285/figure/fig3/AS:11431281287675236@1730344847552/The-spatial-distribution-of-a-the-shared-risk-of-YO-VC-documentclass12ptminimal.png)
The spatial distribution of (a) the shared risk of YO-VC (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:{\text{e}\text{x}\text{p}(\theta\:}_{i})$$\end{document}) and (b) the YO-VC shared hotspots (Pr(exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:{\theta\:}_{i}$$\end{document}) > 1 | data)), after adjusting for ethnic heterogeneity, residential mobility, and government transfer payments
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Background setting
Traditional spatial or non-spatial regression techniques require individual variables to be defined as dependent and independent variables, often assuming a unidirectional and (global) linear relationship between the variables under study. This research studies the Bayesian shared component spatial (BSCS) modeling as an alternati...
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