This paper is devoted to the estimation of a vector θ parametrizing an energy function of a Gibbs point process, via the maximum pseudolikelihood method. Strong consistency and asymptotic normality results of this estimator depending on a single realization are presented. In the framework of exponential family models, sufficient conditions are expressed in terms of the local energy function and are verified on a wide variety of examples.
"Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes." Electron. J. Statist. 2 234 - 264, 2008. https://doi.org/10.1214/07-EJS160