scholarly journals Burglary in London: insights from statistical heterogeneous spatial point processes

2020 ◽  
Vol 69 (5) ◽  
pp. 1067-1090
Author(s):  
Jan Povala ◽  
Seppo Virtanen ◽  
Mark Girolami
Keyword(s):  
Point Processes ◽  
Spatial Point Processes ◽  
Spatial Point

Second-Order Analysis of Inhomogeneous Spatial Point Processes With Proportional Intensity Functions

2008 ◽  
Vol 103 (482) ◽  
pp. 769-777 ◽  
Author(s):  
Yongtao Guan ◽  
Rasmus Waagepetersen ◽  
Colin M Beale
Keyword(s):  
Point Processes ◽  
Second Order ◽  
Spatial Point Processes ◽  
Order Analysis ◽  
Spatial Point ◽  
Proportional Intensity ◽  
Intensity Functions

Spatial Point Processes

2016 ◽  
pp. 143-162
Keyword(s):  
Point Processes ◽  
Spatial Point Processes ◽  
Spatial Point

Likelihood inference for spatial point processes

2019 ◽  
pp. 79-140 ◽  
Author(s):  
C. Geyer
Keyword(s):  
Point Processes ◽  
Likelihood Inference ◽  
Spatial Point Processes ◽  
Spatial Point

Spatial point processes

2019 ◽  
pp. 83-126
Author(s):  
M.N.M. van Lieshout
Keyword(s):  
Point Processes ◽  
Spatial Point Processes ◽  
Spatial Point

scholarly journals Classification of Mixtures of Spatial Point Processes via Partial Bayes Factors

2003 ◽  
Author(s):  
Daniel C. Walsh ◽  
Adrian E. Raftery
Keyword(s):  
Point Processes ◽  
Bayes Factors ◽  
Spatial Point Processes ◽  
Spatial Point

Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach

2018 ◽  
Vol 87 (1) ◽  
pp. 44-67 ◽  
Author(s):  
Matthias Eckardt ◽  
Jorge Mateu
Keyword(s):  
Point Processes ◽  
Spatial Point Processes ◽  
Spatial Point ◽  
Graphical Modelling ◽  
Modelling Approach

A limit theorem for spatial point processes

1986 ◽  
Vol 18 (03) ◽  
pp. 646-659 ◽  
Author(s):  
Steven P. Ellis
Keyword(s):  
Limit Theorem ◽  
Poisson Process ◽  
Asymptotic Distribution ◽  
Point Process ◽  
Point Processes ◽  
Affine Transformations ◽  
Density Estimates ◽  
Spatial Point Processes ◽  
Spatial Point ◽  
As If

Spatial point processes are considered whose points are subjected to certain classes of affine transformations indexed by some variable, T. Under some hypotheses, for large T integrals with respect to such a point process behave approximately as if the process were Poisson. Under stronger hypotheses, the transformed process converges as a process to a Poisson process. The result gives the asymptotic distribution of certain density estimates.

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