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The Candy model: properties and inference

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  • M. N. M. Van Lieshout
  • R. S. Stoica

Abstract

In this paper we study the Candy model, a marked point process introduced by Stoica et al. (2000). We prove Ruelle and local stability, investigate its Markov properties, and discuss how the model may be sampled. Finally, we consider estimation of the model parameters and present a simulation study.

Suggested Citation

  • M. N. M. Van Lieshout & R. S. Stoica, 2003. "The Candy model: properties and inference," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(2), pages 177-206, May.
    • Handle: RePEc:bla:stanee:v:57:y:2003:i:2:p:177-206
    DOI: 10.1111/1467-9574.00227
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    Cited by:

    1. van Lieshout, M.N.M. & Stoica, R.S., 2006. "Perfect simulation for marked point processes," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 679-698, November.
    2. Stoica, R.S. & Gregori, P. & Mateu, J., 2005. "Simulated annealing and object point processes: Tools for analysis of spatial patterns," Stochastic Processes and their Applications, Elsevier, vol. 115(11), pages 1860-1882, November.

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