On a model of sequential point patterns

V Shcherbakov

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)


A finite point process motivated by the cooperative sequential adsorption model is proposed. Analytical properties of the point process are considered in details. It is shown that the introduced point process is useful for modeling both aggregated and regular point patterns. A possible scheme of maximum likelihood estimation of the process parameters is briefly discussed.
Original languageEnglish
Pages (from-to)371-390
Number of pages20
JournalAnnals of the Institute of Statistical Mathematics
Issue number2
Publication statusPublished - 2007


  • Local stability
  • Cooperative sequential adsorption model
  • MCMC methods
  • Maximum likelihood estimation
  • Finite point process


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