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Foundations of Info-Metrics
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Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information

Amos Golan

Abstract

This book provides a framework for info-metrics—the science of modeling, inference, and reasoning under conditions of noisy and insufficient information. Info-metrics is an inherently interdisciplinary framework that emerged from the intersection of information theory, statistical inference, and decision-making under uncertainty. It allows us to process the available information with minimal reliance on assumptions that cannot be validated. This book focuses on unifying all information processing and model building within a single constrained optimization framework. It provides a complete fram ... More

Keywords: constrained optimization, decision framework, inference, info-metrics, information theory, maximum entropy, modeling, causal inference, uncertainty, under-determined problems

Bibliographic Information

Print publication date: 2017 Print ISBN-13: 9780199349524
Published to Oxford Scholarship Online: November 2017 DOI:10.1093/oso/9780199349524.001.0001

Authors

Affiliations are at time of print publication.

Amos Golan, author
Professor, Department of Economics, American University