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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Optimal Coding for Discrete Random Vector
verfasst von : Bernard Colin, Jules de Tibeiro, François Dubeau
Erschienen in: Statistical Learning and Data Sciences
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Based on the notion of mutual information between the components of a discrete random vector, we construct, for data reduction reasons, an optimal quantization of the support of its probability measure. More precisely, we propose a simultaneous discretization of the whole set of the components of the discrete random vector which takes into account, as much as possible, the stochastic dependence between them. Computationals aspects and example are presented.