Parameter Estimation for Marked Gibbs Point Processes Through the Maximum Pseudo-likelihood Method

A general definition and derivation of the pseudo-likelihood function for marked Gibbs point processes are given. The maximum pseudo-likelihood method is illustrated by fitting some marked models to two data sets. In addition, a simulation study of statistical properties of the estimators is presented.

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