Markov interacting component processes

A generalization of Markov point processes is introduced in which interactions occur between connected components of the point pattern. A version of the Hammersley-Clifford characterization theorem is proved which states that a point process is a Markov interacting component process if and only if its density function is a product of interaction terms associated with cliques of connected components. Integrability and superpositional properties of the processes are shown and a pairwise interaction example is used for detailed exploration.

[1]  W. Klein Potts-model formulation of continuum percolation , 1982 .

[2]  G. Grimmett A THEOREM ABOUT RANDOM FIELDS , 1973 .

[3]  T. Mattfeldt Stochastic Geometry and Its Applications , 1996 .

[4]  O. Barndorff-Nielsen,et al.  Stochastic Geometry , 1999 .

[5]  W. Kendall,et al.  Quermass-interaction processes: conditions for stability , 1999, Advances in Applied Probability.

[6]  Olle Häggström,et al.  Characterization results and Markov chain Monte Carlo algorithms including exact simulation for some spatial point processes , 1999 .

[7]  Krishnamoorthy Sivakumar,et al.  Morphological Sampling of Random Closed Sets , 1996, ISMM.

[8]  N. L. Johnson,et al.  Multivariate Analysis , 1958, Nature.

[9]  Adrian Baddeley,et al.  Markov properties of cluster processes , 1996, Advances in Applied Probability.

[10]  Jesper Møller,et al.  Markov connected component fields , 1996, Advances in Applied Probability.

[11]  Olle Häggström,et al.  Characterisation results and Markov chain Monte Carlo algorithms including exact simulation for some , 1996 .

[12]  John S. Rowlinson,et al.  New Model for the Study of Liquid–Vapor Phase Transitions , 1970 .

[13]  Charles J. Geyer,et al.  Likelihood inference for spatial point processes , 2019, Stochastic Geometry.

[14]  B. Ripley Modelling Spatial Patterns , 1977 .

[15]  M. N. M. van Lieshout,et al.  Size-biased random closed sets , 1998, Pattern Recognit..

[16]  F. Kelly,et al.  A note on Strauss's model for clustering , 1976 .

[17]  Brian Everitt,et al.  Cluster analysis , 1974 .

[18]  E. M.,et al.  Statistical Mechanics , 2021, Manual for Theoretical Chemistry.

[19]  C. Geyer,et al.  Simulation Procedures and Likelihood Inference for Spatial Point Processes , 1994 .

[20]  A. Baddeley,et al.  Area-interaction point processes , 1993 .

[21]  Jesper Møller,et al.  Markov chain Monte Carlo and spatial point processes , 2019, Stochastic Geometry.

[22]  D. J. Strauss A model for clustering , 1975 .

[23]  A. Baddeley,et al.  On connected component Markov point processes , 1999, Advances in Applied Probability.

[24]  A. Baddeley,et al.  Nearest-Neighbour Markov Point Processes and Random Sets , 1989 .

[25]  A. Baddeley,et al.  A non-parametric measure of spatial interaction in point patterns , 1996, Advances in Applied Probability.

[26]  B. Ripley,et al.  Markov Point Processes , 1977 .