Advances in info-metrics : information and information processing across disciplines / Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah.
2020
Q386 .A38 2020
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Title
Advances in info-metrics : information and information processing across disciplines / Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah.
ISBN
9780190636722 (electronic book)
Published
New York, NY : Oxford University Press, 2020.
Language
English
Description
1 online resource (560 pages) : illustrations (black and white, and colour).
Call Number
Q386 .A38 2020
Dewey Decimal Classification
003.54
Summary
'Advances in Info-Metrics' expands the study of info-metrics - a framework for modeling, reasoning and drawing inferences under conditions of insufficient information - across disciplines. This volume explores the mathematical and philosophical foundations of information-theoretic inference and demonstrates how to solve problems using new cross-disciplinary case studies and examples.
Note
'Advances in Info-Metrics' expands the study of info-metrics - a framework for modeling, reasoning and drawing inferences under conditions of insufficient information - across disciplines. This volume explores the mathematical and philosophical foundations of information-theoretic inference and demonstrates how to solve problems using new cross-disciplinary case studies and examples.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from home page (viewed on November 4, 2020).
Added Author
Series
Oxford scholarship online.
Available in Other Form
Print version: 9780190636685
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