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Publications

Compositional Models and Maximum Entropy Principle

Typ:
Conference paper
Authors:
Jiroušek R., Malec M.
Proceedings name:
Proceedings of the 6th International Conference on Information and Management Sciences
Publisher:
California Polytechnic State University
Serie:
San Luis Obispo
Year:
2007
ISSN:
1539-2023
Keywords:
entropy, probability, operator of composition, multidimensio
Anotation:
This paper deals with a (relatively) new way of modeling of multidimensional probability distributions, with so called compositional models. It shows that the models forming a special subclass of compositional models, known under the name of perfect sequence models, corresponds with the family of the maximum entropy extensions, which can be computed with the famous Iterative Proportional Fitting Procedure. In addition to this it shows that computation of Shannon entropy for these models is (algorithmically) simple.
 
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