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Interesting article: Linear Information Models: An Introduction. Philip E. Cheng, Jiun W. Liou, Michelle Liou and John A. D. Aston. Journal of Data Science, v.5, no.3, 297-313. [Abstract] [PDF] Description: The classic analysis of variance model involves partitioning variances into several discrete components. You can use a similar approach for categorical data by partitioning measures of entropy and information. This article introduces how this is done for a few simple examples. The description of this article was written on 2007-07-19, 2008-01-12. Category: Information theory, Category: Interesting articles.

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