Nonparametric Estimation for Gibbs Random Fields Specified Through One‐Point Systems
- S. Dachian
DOIAbstract
Gibbs random fields, quasilocality, one‐point systems, nonparametric estimation, break method of sieves, consistency.,
Gibbs random fields, quasilocality, one‐point systems, nonparametric estimation, break method of sieves, consistency.,
La constante de normalisation des champs de Markov se présente sous la forme d'une intégrale hauteme...
Campbell equilibrium equation and pseudo-likelihood estimation for non-hereditar
Spartan random fields are special cases of Gibbs random fields. Their joint probability density func...
Coding schemes, Conditional independence, Gibbs point processes, Random fields, Nonparametric varian...
summary:An efficient estimator for the expectation $\int f \d P$ is constructed, where $P$ is a Gibb...
A new approach towards description of random fields on the $\nu$ -dimensional integer lattice $Z^\nu...
A note on “Bayesian nonparametric estimators derived from conditional Gibbs structures
Among models, allowing to introduce interaction between points, we find the large class of Gibbs mod...
This paper proposes a new estimation technique for fitting parametric Gibbs point process models to ...
Summarization: The inverse problem of determining the spatial dependence of random fields from an ex...
International audienceThe purpose of this paper is a statistical study of spatial Gibbs point proces...
AbstractWe study prediction for vector valued random fields in a nonparametric setting. The predicti...
International audienceStrong consistency of the maximum likelihood estimator (MLE) for parametric Gi...
Summarization: The spatial structure of fluctuations in spatially inhomogeneous processes can be mod...
Publicación ISIThis article presents models of random fields with continuous univariate distribution...
La constante de normalisation des champs de Markov se présente sous la forme d'une intégrale hauteme...
Campbell equilibrium equation and pseudo-likelihood estimation for non-hereditar
Spartan random fields are special cases of Gibbs random fields. Their joint probability density func...
Coding schemes, Conditional independence, Gibbs point processes, Random fields, Nonparametric varian...
summary:An efficient estimator for the expectation $\int f \d P$ is constructed, where $P$ is a Gibb...
A new approach towards description of random fields on the $\nu$ -dimensional integer lattice $Z^\nu...
A note on “Bayesian nonparametric estimators derived from conditional Gibbs structures
Among models, allowing to introduce interaction between points, we find the large class of Gibbs mod...
This paper proposes a new estimation technique for fitting parametric Gibbs point process models to ...
Summarization: The inverse problem of determining the spatial dependence of random fields from an ex...
International audienceThe purpose of this paper is a statistical study of spatial Gibbs point proces...
AbstractWe study prediction for vector valued random fields in a nonparametric setting. The predicti...
International audienceStrong consistency of the maximum likelihood estimator (MLE) for parametric Gi...
Summarization: The spatial structure of fluctuations in spatially inhomogeneous processes can be mod...
Publicación ISIThis article presents models of random fields with continuous univariate distribution...
La constante de normalisation des champs de Markov se présente sous la forme d'une intégrale hauteme...
Campbell equilibrium equation and pseudo-likelihood estimation for non-hereditar
Spartan random fields are special cases of Gibbs random fields. Their joint probability density func...
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