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  1. Bayesian Inference and Computing for Spatial Point Patterns

    Gelfand, Alan E.; Schliep, Erin M.
    This monograph has resulted from a CBMS short course given by Gelfand at the University of California at Santa Cruz the week of August 14-18, 2017. A total of 10 lectures spanning 20 hours were presented. The title of the course was “Bayesian Modeling for Spatial and Spatio-temporal Data.” This monograph extracts a portion of the lecture material which focuses on spatial point patterns and substantially expands it, in addition to providing introductory material (Chapter 1). ¶The decision to focus on spatial point pattern models reflects the fact that this area of spatial analysis has, arguably, received the least attention in...
    - 28-jun-2018

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