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The exponential family in abstract information theory

2013/02/21 by Jan Naudts, Naudts, Jan, Ben Anthonis +1
Computer Science · Mathematics · Physics and Astronomy · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Mathematical Physics (math-ph) #Neural Networks and Applications #Statistical Mechanics and Entropy

paper · pdf · doi:10.48550/arxiv.1302.5205

openalex publication_date 2013/02/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We introduce generalized notions of a divergence function and a Fisher information matrix. We propose to generalize the notion of an exponential family of models by reformulating it in terms of the Fisher information matrix. Our methods are those of information geometry. The context is general enough to include applications from outside statistics.

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