On the higher order product density functions of a Neyman–Scott cluster point process

2016 ◽  
Vol 117 ◽  
pp. 144-150 ◽  
Author(s):  
Abdollah Jalilian
Author(s):  
Francisco J. Martin-Vega ◽  
Yuanwei Liu ◽  
Gerardo Gomez ◽  
Mari Carmen Aguayo-Torres ◽  
Maged Elkashlan

2020 ◽  
Vol 35 ◽  
pp. 100414
Author(s):  
Nancy L. Garcia ◽  
Peter Guttorp ◽  
Guilherme Ludwig

2006 ◽  
Vol 55 (3) ◽  
pp. 542-550 ◽  
Author(s):  
J.-M. Bai ◽  
Z.-H. Li ◽  
X.-B. Kong

1996 ◽  
Vol 28 (2) ◽  
pp. 346-355 ◽  
Author(s):  
A. J. Baddeley ◽  
M. N. M. Van Lieshout ◽  
J. Møller

We show that a Poisson cluster point process is a nearest-neighbour Markov point process [2] if the clusters have uniformly bounded diameter. It is typically not a finite-range Markov point process in the sense of Ripley and Kelly [12]. Furthermore, when the parent Poisson process is replaced by a Markov or nearest-neighbour Markov point process, the resulting cluster process is also nearest-neighbour Markov, provided all clusters are non-empty. In particular, the nearest-neighbour Markov property is preserved when points of the process are independently randomly translated, but not when they are randomly thinned.


1998 ◽  
Vol 4 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Toshimitsu TAKAHASHI ◽  
Mitsuyuki NAKAO ◽  
Ferdinand GRÜNEIS ◽  
Yoshinari MIZUTANI ◽  
Mitsuaki YAMAMOTO

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