Information Theory And Statistics
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Information Theory and Statistics
Author: Solomon Kullback
language: en
Publisher: Courier Corporation
Release Date: 2012-09-11
Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix. 1968 2nd, revised edition.
Information Theory and Statistics
Explores the applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background.
Information Theory and Statistical Learning
Author: Frank Emmert-Streib
language: en
Publisher: Springer Science & Business Media
Release Date: 2009
This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts.