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                            Library & Multimedia
 Rejoinder  A Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications
NCJ Number
              253382
Journal

*Statistical Science* Volume: 33 Issue: 3 Dated: 2018 Pages: 330-333
Author(s)
          Alex Reinhart
Date Published

2018
Length
              4 pages
Annotation
              After presenting his "Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications," at a conference, the author expresses his broad agreement with the perspectives presented by discussants following the review, and he then identifies and discusses areas of future research.
Abstract
              The areas of research reviewed are causality and mutually exciting processes, stochastic reconstruction, and estimation. He concludes by noting that "self-exciting spatio-temporal point processes are an active area of research across many fields of application; however, there are still many open questions. He hopes that his review and subsequent discussion will motivate further theoretical development, followed by advancement in methods and the availability of practical software. 2 figures and 7 references (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2016-R2-CX-0021


  
  
        
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  Publication Type
        Issue Overview
                                Instructional Material


  
  
        
  Award
        Point process modeling with spatiotemporal covariates for predicting crime
    
  
  
Date Published: January 1, 2018
    
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