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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Bibliographic Details
Other Authors: Qu, Kai (author)
Format: Others
Language:English
English
Published: Florida State University
Subjects:
Online Access:http://purl.flvc.org/fsu/fd/2019_Fall_Qu_fsu_0071E_15498