Multi-parameter auto-models with applications to cooperative systems and analysis of mixed-state data
نویسنده
چکیده
We propose in this paper an extension of Besag’s auto-models to exponential families with multi-dimensional parameters. This extension is necessary for the treatment of spatial models like the ones where the conditional distributions are Beta-distributed. A family of cooperative auto-models is proposed. Moreover we apply the result to the analysis of lattice observations which are mixtures of a point mass at the origin and a continuous component.
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