2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/212416This paper is devoted to the estimation of a vector $\bm θ$ 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.Published in at http://dx.doi.org/10.1214/07-EJS160 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)Statistics Theory60G55 (Primary) 60J25 (Secondary)Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processestext