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- Topics in Statistical Information Theory
- (PDF) Rosario+Vampire, Vol. 3: Lesson Three: Trolls - Akihisa Ikeda #GET
- Information theory and statistics
Topics in Statistical Information Theory
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(PDF) Rosario+Vampire, Vol. 3: Lesson Three: Trolls - Akihisa Ikeda #GET
Course Pre-requisites: EE and familiarity with basic concepts of probability. Course Outline: This course will serve as the first among the sequence of two courses in the area of Information Theory. The first part of the first course will introduce the ideal of uncertainty, which is a useful measure in studying the data compression and deriving the results related to compression. Compressing data naturally leads to the need for coding strategies that can represent the data in the most efficient way. This problem is studied in the context of optimal coding and the notion of optimality is introduced. The folk wisdom of twenty questions is brought back in this context and related to the Shannon-Fano-Elias coding. We will also deal with the correlated sources in which case the Slepian-Wolf Lemma provides the main result for compression.
This file was generated by bibtex2html 1. Foundations of Info-Metrics. About the Author Other Books by the Author. Oxford University Press, Partial Lest Square Regression. Sage, Thousands Oaks,
Information theory and statistics
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Refworks Account Login. UBC Theses and Dissertations. Featured Collection. One widely accepted though not uncontested norm for partial belief changeis Bayesian conditionalization. Information theory provides a far-reaching general-ization of Bayesian conditionalization and gives it a foundation in an intuition thatpays attention principally to information contained in probability distributions andinformation gained with new evidence.
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