Back to Search Start Over

Regularity conditions in the realisability problem in applications to point processes and random closed sets

Regularity conditions in the realisability problem in applications to point processes and random closed sets

Authors :
Raphaël Lachièze-Rey
Ilya Molchanov
Source :
Annals of Applied Probability, Ann. Appl. Probab. 25, no. 1 (2015), 116-149, Lachièze-Rey, Raphaël; Molchanov, Ilya (2015). Regularity conditions in the realisability problem in applications to point processes and random closed sets. Annals of applied probability, 25(1), pp. 116-149. Institute of Mathematical Statistics 10.1214/13-AAP990
Publication Year :
2015
Publisher :
Institute of Mathematical Statistics, 2015.

Abstract

We study existence of random elements with partially specified distributions. The technique relies on the existence of a positive extension for linear functionals accompanied by additional conditions that ensure the regularity of the extension needed for interpreting it as a probability measure. It is shown in which case the extension can be chosen to possess some invariance properties. The results are applied to the existence of point processes with given correlation measure and random closed sets with given two-point covering function or contact distribution function. It is shown that the regularity condition can be efficiently checked in many cases in order to ensure that the obtained point processes are indeed locally finite and random sets have closed realisations.<br />Comment: Published in at http://dx.doi.org/10.1214/13-AAP990 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Details

Language :
English
Database :
OpenAIRE
Journal :
Annals of Applied Probability, Ann. Appl. Probab. 25, no. 1 (2015), 116-149, Lachi&#232;ze-Rey, Rapha&#235;l; Molchanov, Ilya (2015). Regularity conditions in the realisability problem in applications to point processes and random closed sets. Annals of applied probability, 25(1), pp. 116-149. Institute of Mathematical Statistics 10.1214/13-AAP990 <http://dx.doi.org/10.1214/13-AAP990>
Accession number :
edsair.doi.dedup.....75d32735a9ee68af13948d82888551fa
Full Text :
https://doi.org/10.7892/boris.72279