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Advances in Info-Metrics: Information and Information Processing across Disciplines Chen Min
Advances in Info-Metrics: Information and Information Processing across Disciplines
Chen Min
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.
552 pages
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 20 de enero de 2021 |
| ISBN13 | 9780190636685 |
| Editores | Oxford University Press Inc |
| Páginas | 560 |
| Dimensiones | 255 × 181 × 35 mm · 1,06 kg |
| Editor | 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) |
| Editor | 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 Informatic |
| Editor | 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) |
| Editor | Ullah, Aman (Distinguished Professor of Economics and Chair, Distinguished Professor of Economics and Chair, University of California, Riverside) |
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