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Bayesian Wombling: Curvilinear Gradient Assessment Under Spatial Process Models
Large-scale inference for random spatial surfaces over a region using spatial process models has been well studied. Under such models, local analysis of the surface (e.g., gradients at given points) has received recent attention. A more ambitious objective is to move from points to curves, to attemp...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2006
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2835372/ https://ncbi.nlm.nih.gov/pubmed/20221318 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/016214506000000041 |
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