Maximum pseudo-likelihood estimator for nearest-neighbours Gibbs point   processes
  This paper is devoted to the estimation of a vector parametrizing an energy function associated to some "Nearest-Neighbours" Gibbs point process, via the pseudo-likelihood method. We present some convergence results concerning this estimator, that is strong consistency and asymptotic normality, when only a single realization is observed. Sufficient conditions are expressed in terms of the local energy function and are verified on some examples. 
Jean-Michel Billiot (LABSAD), Jean-Fran\c{c}ois Coeurjolly (LABSAD),   R\'emy Drouilhet (LABSAD)