Bayesian Analysis of Spatial Point Patterns
<p>We explore the posterior inference available for Bayesian spatial point process models. In the literature, discussion of such models is usually focused on model fitting and rejecting complete spatial randomness, with model diagnostics and posterior inference often left as an afterthought. P...
Main Author: | Leininger, Thomas Jeffrey |
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Other Authors: | Gelfand, Alan E |
Published: |
2014
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Subjects: | |
Online Access: | http://hdl.handle.net/10161/8730 |
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