Advances in Info-Metrics: Information and Information Processing across Disciplines

Info-metrics is a framework for modeling, reasoning, and drawing inferences under noisy and insufficient information. It is an interdisciplinary framework that combines information theory, statistical inference, and decision-making under uncertainty. The book "Advances in Info-Metrics" brings together thirty experts to expand the study of info-metrics across the sciences and demonstrate how to solve problems using this interdisciplinary framework. It explores the basis of information-theoretic inference and its mathematical and philosophical foundations, emphasizes the interrelationship between information and inference, and provides the necessary tools for using the info-metrics framework to solve problems. The book is designed to be accessible for researchers, graduate students, and practitioners across disciplines.

\n Format: Hardback
\n Length: 552 pages
\n Publication date: 20 January 2021
\n Publisher: Oxford University Press Inc
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Info-metrics is a comprehensive framework that enables modeling, reasoning, and drawing inferences in the presence of noisy and insufficient information. It is an interdisciplinary domain that intersects information theory, statistical inference, and decision-making under uncertainty. In their book, Advances in Info-Metrics, Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah bring together a diverse group of thirty experts to explore the applications of info-metrics across various scientific fields and demonstrate how to solve complex problems using this interdisciplinary approach.

The volume expands the understanding of info-metrics by shedding new light on statistical inference, information, and problem-solving in general. It delves into the foundations of information-theoretic inference, emphasizing its mathematical and philosophical underpinnings. The book highlights the interrelationship between information and inference, providing detailed explanations of model building, theory creation, estimation, prediction, and decision-making.

Each of the nineteen chapters in the book offers practical tools and techniques for applying the info-metrics framework to solve real-world problems. The collection includes recent developments in the field, as well as numerous cross-disciplinary case studies and examples. Designed to be accessible to researchers, graduate students, and practitioners from diverse disciplines, this book provides a hands-on experience for readers interested in addressing challenges posed by incomplete and imperfect information.

By leveraging the power of info-metrics, researchers and practitioners can make informed decisions and develop effective strategies in a wide range of applications, including data analysis, machine learning, healthcare, finance, and intelligence. The interdisciplinary nature of info-metrics fosters collaboration and innovation, enabling researchers to draw insights from multiple fields and apply them to solve complex problems.

In conclusion, Advances in Info-Metrics is a valuable resource for anyone seeking to expand their knowledge and expertise in info-metrics and problem-solving under uncertainty. With its comprehensive coverage, practical insights, and interdisciplinary approach, this book provides a solid foundation for researchers, practitioners, and students interested in advancing the field of information science and analytics.

\n Weight: 1062g\n
Dimension: 181 x 255 x 35 (mm)\n
ISBN-13: 9780190636685\n \n