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Theory of Information and its Value

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Cover of 'Theory of Information and its Value'

Table of Contents

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    Book Overview
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    Chapter 1 Definition of information and entropy in the absence of noise
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    Chapter 2 Encoding of discrete information in the absence of noise and penalties
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    Chapter 3 Encoding in the presence of penalties. First variational problem
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    Chapter 4 First asymptotic theorem and related results
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    Chapter 5 Computation of entropy for special cases. Entropy of stochastic processes
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    Chapter 6 Information in the presence of noise. Shannon’s amount of information
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    Chapter 7 Message transmission in the presence of noise. Second asymptotic theorem and its various formulations
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    Chapter 8 Channel capacity. Important particular cases of channels
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    Chapter 9 Definition of the value of information
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    Chapter 10 Value of Shannon’s information for the most important Bayesian systems
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    Chapter 11 Asymptotic results about the value of information. Third asymptotic theorem
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    Chapter 12 Information theory and the second law of thermodynamics
Attention for Chapter 1: Definition of information and entropy in the absence of noise
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Chapter title
Definition of information and entropy in the absence of noise
Chapter number 1
Book title
Theory of Information and its Value
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-22833-0_1
Book ISBNs
978-3-03-022832-3, 978-3-03-022833-0
Authors

Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe, Belavkin, Roman V., Pardalos, Panos M., Principe, Jose C., Stratonovich, Ruslan L.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Social Sciences 1 100%

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