Bayesian Hierarchical Models That Incorporate New Sources of Dependence for Boundary Detection and Spatial Prediction
Spatial boundary analysis has attained considerable attention in several disciplines including engineering, spatial statistics, and computer science. The inferential question of interest is to identify rapid surface changes of an unobserved latent process. We extend Curvilinear Wombling, the current...
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Format: | Others |
Language: | English English |
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Florida State University
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Online Access: | http://purl.flvc.org/fsu/fd/2019_Fall_Qu_fsu_0071E_15498 |