Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Maximum pseudo-likelihood estimator for nearest-neighbours Gibbs point processes

Abstract : 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.
Document type :
Preprints, Working Papers, ...
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00016436
Contributor : Jean-François Coeurjolly <>
Submitted on : Wednesday, January 4, 2006 - 2:59:21 PM
Last modification on : Friday, November 6, 2020 - 4:43:46 AM
Long-term archiving on: : Saturday, April 3, 2010 - 8:50:05 PM

Identifiers

Collections

Citation

Jean-Michel Billiot, Jean-François Coeurjolly, Rémy Drouilhet. Maximum pseudo-likelihood estimator for nearest-neighbours Gibbs point processes. 2006. ⟨hal-00016436⟩

Share

Metrics

Record views

179

Files downloads

193