eBook, ePUB

Advances in Info-Metrics (eBook, ePUB)

Information and Information Processing across Disciplines

Redaktion: Chen, Min; Ullah, Aman; Golan, Amos; Dunn, J. Michael
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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. In Advances in Info-Metrics, Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah bring together a group of thirty experts to expand the study of info-metrics across the sciences and demonstrate how to solve problems using this interdisciplinary framework. Building on the theoretical underpinnings of info-metrics, ...

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