4.1 Article

The Candy model: properties and inference

期刊

STATISTICA NEERLANDICA
卷 57, 期 2, 页码 177-206

出版社

WILEY
DOI: 10.1111/1467-9574.00227

关键词

candy model; Markov chain Monte Carlo simulation; Markov marked point process; maximum likelihood estimation; stability

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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.

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