A spatial model for multivariate lattice data.
In this article, we develop Markov random field models for multivariate lattice data. Specific attention is given to building models that incorporate general forms of the spatial correlations and cross-correlations between variables at different sites. The methodology is applied to a problem in envi...
| Publicado en: | Journal of Econometrics Vol. 140; no. 1; pp. 226 - 260 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Elsevier Science
September 2007
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | In this article, we develop Markov random field models for multivariate lattice data. Specific attention is given to building models that incorporate general forms of the spatial correlations and cross-correlations between variables at different sites. The methodology is applied to a problem in environmental equity. Using a Bayesian hierarchical model that is multivariate in form, we examine the racial distribution of residents of southern Louisiana in relation to the location of sites listed with the U.S. Environmental Protection Agency's Toxic Release Inventory. Copyright (c) 2007 Elsevier B.V. |
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