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Advances in Info-Metrics: Information and Information Processing across Disciplines Aman Ullah-Min Chen-J. Michael Dunn-Amos Golan
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Advances in Info-Metrics: Information and Information Processing across Disciplines
Aman Ullah-Min Chen-J. Michael Dunn-Amos Golan
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
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2021年1月20日 |
| ISBN13 | 9780190636685 |
| 出版社 | Oxford University Press Inc |
| ページ数 | 560 |
| 寸法 | 255 × 181 × 35 mm · 1,06 kg |
| 編集者 | 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) |
| 編集者 | 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 |
| 編集者 | 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) |
| 編集者 | Ullah, Aman (Distinguished Professor of Economics and Chair, Distinguished Professor of Economics and Chair, University of California, Riverside) |