Information Theory And Statistics: A Tutorial

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.

• | By (Author): Imre Csiszar
• | Series: Foundations and Trends (R) in Communications and Information Theory
• | Publisher: now publishers Inc
• | Publication Date: Dec 15, 2004
• | Country of Publication: United States
• | Number of Pages: 124 pages
• | Language: Not available
• | Binding: Paperback|Softback
• | ISBN-10: 0007233485
• | ISBN-13: 9781933019055