by Chen, Min; Dunn, J. Michael; Golan, Amos, J. Michael Dunn, Amos Golan, Aman Ullah
English | 2021 | ISBN: 0190636688 | 557 pages | True (PDF EPUB) | 29.93 MB
Info-metrics is a framework for modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty.
Designed to be accessible for researchers, graduate students, and practitioners across disciplines, this book provides a clear, hands-on experience for readers interested in solving problems when presented with incomplete and imperfect information.
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