Advances in Info-Metrics

BOK (Inbunden)

Oxford University Press Inc
2021-01-20
Engelska

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.

Undertitel:	Information and Information Processing across Disciplines
Redaktör:	Chen, Min (Professor of Scientific Visualization, Oxford e-Research Centre, and Professorial Fellow, Professor of Scientific Visualization, Oxford e-Research Centre, and Professorial Fellow, Pembroke College, University of Oxford), Dunn, J. Michael (Oscar Ewing Professor of Philosophy, Emeritus, Professor of Computer Science and Informatics, Emeritus, and Founding Dean, School of Informatics, Oscar Ewing Professor of Philosophy, Emeritus, Professor of Computer Science and Informatics, Emeritus, and Founding Dean, School of Informatics, Indiana University, Bloomington), Ullah, Aman (Distinguished Professor of Economics and Chair, Distinguished Professor of Economics and Chair, University of California, Riverside), Golan, Amos (Professor of Economics and Director, Info-Metrics Institute, American University, and External Professor, Professor of Economics and Director, Info-Metrics Institute, American University, and External Professor, Santa Fe Institute)
Vikt:	1.062 kg
Höjd:	181 mm
Bredd:	255 mm
Djup:	35 mm
Omfång:	560 s.
Övrig information:	United States, Oxford University Press Inc

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Advances in Info-Metrics

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