Non-parametric confidence intervals for correlations in nearest-neighbour Markov point processes

2002 ◽  
Vol 13 (2) ◽  
pp. 187-207
Author(s):  
Andrea Pallini
1990 ◽  
Vol 27 (04) ◽  
pp. 767-778 ◽  
Author(s):  
W. S. Kendall

Nearest-neighbour Markov point processes were introduced by Baddeley and Møller (1989) as generalizations of the Markov point processes of Ripley and Kelly. This note formulates and discusses a spatial Markov property for these point processes.


2018 ◽  
Vol 50 (4) ◽  
pp. 1275-1293 ◽  
Author(s):  
M. N. M. van Lieshout

Abstract We define nearest-neighbour point processes on graphs with Euclidean edges and linear networks. They can be seen as analogues of renewal processes on the real line. We show that the Delaunay neighbourhood relation on a tree satisfies the Baddeley‒Møller consistency conditions and provide a characterisation of Markov functions with respect to this relation. We show that a modified relation defined in terms of the local geometry of the graph satisfies the consistency conditions for all graphs with Euclidean edges that do not contain triangles.


1990 ◽  
Vol 27 (4) ◽  
pp. 767-778 ◽  
Author(s):  
W. S. Kendall

Nearest-neighbour Markov point processes were introduced by Baddeley and Møller (1989) as generalizations of the Markov point processes of Ripley and Kelly. This note formulates and discusses a spatial Markov property for these point processes.


1989 ◽  
Vol 57 (2) ◽  
pp. 89 ◽  
Author(s):  
Adrian Baddeley ◽  
Jesper Møller ◽  
Jesper Moller

1978 ◽  
Vol 10 (2) ◽  
pp. 262-263
Author(s):  
Erhan Çinlar

1998 ◽  
Vol 30 (2) ◽  
pp. 281-281
Author(s):  
Eva B. Vedel Jensen ◽  
Linda Stougaard Nielsen

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