Theory Of Information And Its Value

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Theory of Information and its Value

Ruslan L. Stratonovich
Theory of Information and its Value Book PDF

Author : Ruslan L. Stratonovich
Publisher : Springer Nature
Page : 419 pages
File Size : 44,5 Mb
Release : 2020-01-14
Category : Mathematics
ISBN : 9783030228330

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Theory of Information and its Value by Ruslan L. Stratonovich Pdf

This English version of Ruslan L. Stratonovich’s Theory of Information (1975) builds on theory and provides methods, techniques, and concepts toward utilizing critical applications. Unifying theories of information, optimization, and statistical physics, the value of information theory has gained recognition in data science, machine learning, and artificial intelligence. With the emergence of a data-driven economy, progress in machine learning, artificial intelligence algorithms, and increased computational resources, the need for comprehending information is essential. This book is even more relevant today than when it was first published in 1975. It extends the classic work of R.L. Stratonovich, one of the original developers of the symmetrized version of stochastic calculus and filtering theory, to name just two topics. Each chapter begins with basic, fundamental ideas, supported by clear examples; the material then advances to great detail and depth. The reader is not required to be familiar with the more difficult and specific material. Rather, the treasure trove of examples of stochastic processes and problems makes this book accessible to a wide readership of researchers, postgraduates, and undergraduate students in mathematics, engineering, physics and computer science who are specializing in information theory, data analysis, or machine learning.

The Mathematical Theory of Communication

Claude E Shannon,Warren Weaver
The Mathematical Theory of Communication Book PDF

Author : Claude E Shannon,Warren Weaver
Publisher : University of Illinois Press
Page : 141 pages
File Size : 53,8 Mb
Release : 1998-09-01
Category : Language Arts & Disciplines
ISBN : 9780252098031

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The Mathematical Theory of Communication by Claude E Shannon,Warren Weaver Pdf

Scientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory more than fifty years ago. Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.

Science and Information Theory

Leon Brillouin
Science and Information Theory Book PDF

Author : Leon Brillouin
Publisher : Courier Corporation
Page : 370 pages
File Size : 49,7 Mb
Release : 2013-07-17
Category : Science
ISBN : 9780486497556

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Science and Information Theory by Leon Brillouin Pdf

Geared toward upper-level undergraduates and graduate students, this classic resource by a giant of 20th-century mathematics applies principles of information theory to Maxwell's demon, thermodynamics, and measurement problems. 1962 edition.

Elements of Information Theory

Thomas M. Cover,Joy A. Thomas
Elements of Information Theory Book PDF

Author : Thomas M. Cover,Joy A. Thomas
Publisher : John Wiley & Sons
Page : 788 pages
File Size : 43,6 Mb
Release : 2012-11-28
Category : Computers
ISBN : 9781118585771

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Elements of Information Theory by Thomas M. Cover,Joy A. Thomas Pdf

The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

Revitalizing Marxist Theory for Today's Capitalism

Paul Zarembka,Radhika Desai
Revitalizing Marxist Theory for Today s Capitalism Book PDF

Author : Paul Zarembka,Radhika Desai
Publisher : Emerald Group Publishing
Page : 300 pages
File Size : 42,5 Mb
Release : 2011-11-07
Category : Political Science
ISBN : 9781780522555

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Revitalizing Marxist Theory for Today's Capitalism by Paul Zarembka,Radhika Desai Pdf

Amidst a capitalist crisis that has upturned mainstream orthodoxies, this title underscores the importance of historical and materialist understandings of capitalist economies. It exposes the limitations of neoclassical economics' endogenous growth theory and how it, in fact, gropes for understandings well established within Marxism.

Information Theory, Inference and Learning Algorithms

David J. C. MacKay
Information Theory Inference and Learning Algorithms Book PDF

Author : David J. C. MacKay
Publisher : Cambridge University Press
Page : 694 pages
File Size : 46,7 Mb
Release : 2003-09-25
Category : Computers
ISBN : 0521642981

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Information Theory, Inference and Learning Algorithms by David J. C. MacKay Pdf

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Information Theory

JV Stone
Information Theory Book PDF

Author : JV Stone
Publisher : Sebtel Press
Page : 243 pages
File Size : 44,5 Mb
Release : 2015-01-01
Category : Business & Economics
ISBN : 9780956372857

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Information Theory by JV Stone Pdf

Originally developed by Claude Shannon in the 1940s, information theory laid the foundations for the digital revolution, and is now an essential tool in telecommunications, genetics, linguistics, brain sciences, and deep space communication. In this richly illustrated book, accessible examples are used to introduce information theory in terms of everyday games like ‘20 questions’ before more advanced topics are explored. Online MatLab and Python computer programs provide hands-on experience of information theory in action, and PowerPoint slides give support for teaching. Written in an informal style, with a comprehensive glossary and tutorial appendices, this text is an ideal primer for novices who wish to learn the essential principles and applications of information theory.

Information Systems Theory

Yogesh K. Dwivedi,Michael R. Wade,Scott L. Schneberger
Information Systems Theory Book PDF

Author : Yogesh K. Dwivedi,Michael R. Wade,Scott L. Schneberger
Publisher : Springer Science & Business Media
Page : 515 pages
File Size : 46,9 Mb
Release : 2011-09-21
Category : Business & Economics
ISBN : 9781441961082

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Information Systems Theory by Yogesh K. Dwivedi,Michael R. Wade,Scott L. Schneberger Pdf

The overall mission of this book is to provide a comprehensive understanding and coverage of the various theories and models used in IS research. Specifically, it aims to focus on the following key objectives: To describe the various theories and models applicable to studying IS/IT management issues. To outline and describe, for each of the various theories and models, independent and dependent constructs, reference discipline/originating area, originating author(s), seminal articles, level of analysis (i.e. firm, individual, industry) and links with other theories. To provide a critical review/meta-analysis of IS/IT management articles that have used a particular theory/model. To discuss how a theory can be used to better understand how information systems can be effectively deployed in today’s digital world. This book contributes to our understanding of a number of theories and models. The theoretical contribution of this book is that it analyzes and synthesizes the relevant literature in order to enhance knowledge of IS theories and models from various perspectives. To cater to the information needs of a diverse spectrum of readers, this book is structured into two volumes, with each volume further broken down into two sections. The first section of Volume 1 presents detailed descriptions of a set of theories centered around the IS lifecycle, including the Success Model, Technology Acceptance Model, User Resistance Theories, and four others. The second section of Volume 1 contains strategic and economic theories, including a Resource-Based View, Theory of Slack Resources, Portfolio Theory, Discrepancy Theory Models, and eleven others. The first section of Volume 2 concerns socio-psychological theories. These include Personal Construct Theory, Psychological Ownership, Transactive Memory, Language-Action Approach, and nine others. The second section of Volume 2 deals with methodological theories, including Critical Realism, Grounded Theory, Narrative Inquiry, Work System Method, and four others. Together, these theories provide a rich tapestry of knowledge around the use of theory in IS research. Since most of these theories are from contributing disciplines, they provide a window into the world of external thought leadership.

Formal Theories of Information

Giovanni Sommaruga
Formal Theories of Information Book PDF

Author : Giovanni Sommaruga
Publisher : Springer
Page : 269 pages
File Size : 47,7 Mb
Release : 2009-04-07
Category : Computers
ISBN : 9783642006593

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Formal Theories of Information by Giovanni Sommaruga Pdf

It is commonly assumed that computers process information. But what is inf- mation? In a technical, important, but nevertheless rather narrow sense, Sh- non’sinformationtheorygivesa?rstanswertothisquestion.Thistheoryfocuses on measuring the information content of a message. Essentially this measure is the reduction of the uncertainty obtained by receiving a message. The unc- tainty of a situation of ignorance in turn is measured by entropy. This theory hashad an immense impact on the technologyof information storage,data c- pression, information transmission and coding and still is a very active domain of research. Shannon’s theory has also attractedmuch interest in a more philosophic look at information, although it was readily remarked that it is only a “syntactic” theory of information and neglects “semantic” issues. Several attempts have been made in philosophy to give information theory a semantic ?avor, but still mostly based on or at least linked to Shannon’s theory. Approaches to semantic informationtheoryalsoveryoftenmakeuseofformallogic.Thereby,information is linked to reasoning, deduction and inference, as well as to decision making. Further, entropy and related measure were soon found to have important connotations with regard to statistical inference. Surely, statistical data and observation represent information, information about unknown, hidden para- ters. Thus a whole branch of statistics developed around concepts of Shannon’s information theory or derived from them. Also some proper measurements - propriate for statistics, like Fisher’s information, were proposed.

The Theory of Quantum Information

John Watrous
The Theory of Quantum Information Book PDF

Author : John Watrous
Publisher : Unknown
Page : 599 pages
File Size : 47,8 Mb
Release : 2018-04-26
Category : Computers
ISBN : 9781107180567

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The Theory of Quantum Information by John Watrous Pdf

Formal development of the mathematical theory of quantum information with clear proofs and exercises. For graduate students and researchers.

The Blackwell Encyclopedic Dictionary of Management Information Systems

Gordon B. Davis
The Blackwell Encyclopedic Dictionary of Management Information Systems Book PDF

Author : Gordon B. Davis
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 47,5 Mb
Release : 1999-06-02
Category : Business & Economics
ISBN : 0631214844

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The Blackwell Encyclopedic Dictionary of Management Information Systems by Gordon B. Davis Pdf

The Blackwell Encyclopedic Dictionary of Management Information Systems provides clear, concise, up to the minute and highly informative definitions and explanations covering the whole of the fast changing field of management information systems.

Info-Gap Decision Theory

Yakov Ben-Haim
Info Gap Decision Theory Book PDF

Author : Yakov Ben-Haim
Publisher : Elsevier
Page : 384 pages
File Size : 48,6 Mb
Release : 2006-10-11
Category : Computers
ISBN : 9780080465708

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Info-Gap Decision Theory by Yakov Ben-Haim Pdf

Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. Info-Gap Decision Theory is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently "hybrid" models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais "paradoxes", are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models. New theory developed systematically Many examples from diverse disciplines Realistic representation of severe uncertainty Multi-faceted approach to risk Quantitative model-based decision theory

Entropy and Information Theory

Robert M. Gray
Entropy and Information Theory Book PDF

Author : Robert M. Gray
Publisher : Springer Science & Business Media
Page : 346 pages
File Size : 51,6 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9781475739824

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Entropy and Information Theory by Robert M. Gray Pdf

This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding theorems. These tools form an area common to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynamical systems. Examples are entropy, mutual information, conditional entropy, conditional information, and discrimination or relative entropy, along with the limiting normalized versions of these quantities such as entropy rate and information rate. Much of the book is concerned with their properties, especially the long term asymptotic behavior of sample information and expected information. This is the only up-to-date treatment of traditional information theory emphasizing ergodic theory.

Introduction to Statistical Decision Theory

John Winsor Pratt,Howard Raiffa,Robert Schlaifer
Introduction to Statistical Decision Theory Book PDF

Author : John Winsor Pratt,Howard Raiffa,Robert Schlaifer
Publisher : MIT Press
Page : 906 pages
File Size : 43,6 Mb
Release : 1995
Category : Business & Economics
ISBN : 0262161443

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Introduction to Statistical Decision Theory by John Winsor Pratt,Howard Raiffa,Robert Schlaifer Pdf

They then examine the Bernoulli, Poisson, and Normal (univariate and multivariate) data generating processes.

Regulating Capitalism?

J. Zimmermann,J. Werner
Regulating Capitalism Book PDF

Author : J. Zimmermann,J. Werner
Publisher : Springer
Page : 253 pages
File Size : 40,5 Mb
Release : 2013-09-26
Category : Social Science
ISBN : 9781137309280

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Regulating Capitalism? by J. Zimmermann,J. Werner Pdf

By exploring how financial, legal and wider socio-economic systems can accelerate or decelerate the harmonization in financial markets, this book connects issues both of contemporary political science and accounting research.