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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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Detalhes bibliográficos
Main Authors: Banerjee, Sudipto, Gelfand, Alan E.
Formato: Artigo
Idioma:Inglês
Publicado em: 2006
Assuntos:
Acesso em linha: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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