Estimation of the intensity parameter of ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
Titre :
Estimation of the intensity parameter of the germ-grain Quermass-interaction model when the number of germs is not observed
Auteur(s) :
Dereudre, David [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Lavancier, Frédéric [Auteur]
Helisova Stankova, Katerina [Auteur]

Laboratoire Paul Painlevé - UMR 8524 [LPP]
Lavancier, Frédéric [Auteur]
Helisova Stankova, Katerina [Auteur]
Titre de la revue :
Scandinavian Journal of Statistics
Pagination :
1-21
Éditeur :
Wiley
Date de publication :
2014
ISSN :
0303-6898
Mot(s)-clé(s) en anglais :
Gibbs Point Process
germ-grain model
Quermass-Interaction Process
Area-interaction Process
Perimeter-interaction Process
Takacs-Fiksel estimator.
Takacs-Fiksel estimator
germ-grain model
Quermass-Interaction Process
Area-interaction Process
Perimeter-interaction Process
Takacs-Fiksel estimator.
Takacs-Fiksel estimator
Discipline(s) HAL :
Mathématiques [math]/Statistiques [math.ST]
Statistiques [stat]/Théorie [stat.TH]
Statistiques [stat]/Théorie [stat.TH]
Résumé en anglais : [en]
The Quermass-interaction model allows to generalise the classical germ-grain Boolean model in adding a morphological interaction between the grains. It enables to model random structures with specific morphologies which ...
Lire la suite >The Quermass-interaction model allows to generalise the classical germ-grain Boolean model in adding a morphological interaction between the grains. It enables to model random structures with specific morphologies which are unlikely to be generated from a Boolean model. The Quermass-interaction model depends in particular on an intensity parameter, which is impossible to estimate from classical likelihood or pseudo-likelihood approaches because the number of points is not observable from a germ-grain set. In this paper, we present a procedure based on the Takacs-Fiksel method which is able to estimate all parameters of the Quermass-interaction model, including the intensity. An intensive simulation study is conducted to assess the efficiency of the procedure and to provide practical recommendations. It also illustrates that the estimation of the intensity parameter is crucial in order to identify the model. The Quermass-interaction model is finally fitted by our method to P. Diggle's heather dataset.Lire moins >
Lire la suite >The Quermass-interaction model allows to generalise the classical germ-grain Boolean model in adding a morphological interaction between the grains. It enables to model random structures with specific morphologies which are unlikely to be generated from a Boolean model. The Quermass-interaction model depends in particular on an intensity parameter, which is impossible to estimate from classical likelihood or pseudo-likelihood approaches because the number of points is not observable from a germ-grain set. In this paper, we present a procedure based on the Takacs-Fiksel method which is able to estimate all parameters of the Quermass-interaction model, including the intensity. An intensive simulation study is conducted to assess the efficiency of the procedure and to provide practical recommendations. It also illustrates that the estimation of the intensity parameter is crucial in order to identify the model. The Quermass-interaction model is finally fitted by our method to P. Diggle's heather dataset.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Projet ANR :
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