Abstract: This paper introduces a new semi-supervised classification and segmentation approach tailored to hyperspectral images. The posterior distributions of the classes are modeled by the ...
This paper describes a model based approach to producing small area estimates of counts for different categories of the Australian labour force based on a multinomial logit mixed model with category ...
In this article, we provide a random utility-based derivation of the Dirichlet-multinomial regression and propose it as a convenient alternative for dealing with overdispersed multinomial data. We ...
A two-stage procedure is proposed for the generation of random variates from a multinomial distribution. In the first stage we propose that cell frequencies be generated as random deviates from a ...
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