Preface.(Information Theory and Statistics: A Tutorial) From: Foundations and Trends in Communications and InformationTheory | Date: January 1, 2004 | COPYRIGHT 2004 Now Publishers, Inc. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan.  All inquiries regarding rights should be directed to the Gale Group.Copyright information

This tutorial is concerned with applications of information theory concepts in statistics. It originated as lectures given by Imre Csiszar at the University of Maryland in 1991 with later additions and corrections by Csiszar and Paul Shields.

Attention is restricted to finite alphabet models. This excludes some celebrated applications such as the information theoretic proof of the dichotomy theorem for Gaussian measures, or of Sanov's theorem in a general setting, but considerably simplifies the mathematics and admits combinatorial techniques. Even within the finite alphabet ...

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