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Information Theory and Statistics

- A Tutorial

About 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.

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  • Language:
  • English
  • ISBN:
  • 9781933019055
  • Binding:
  • Paperback
  • Pages:
  • 124
  • Published:
  • December 14, 2004
  • Dimensions:
  • 157x237x7 mm.
  • Weight:
  • 196 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 26, 2024
Extended return policy to January 30, 2025
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Description of 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.

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