Foundations of Info-Metrics

Reviews / Votes

This book is a good mixture of theory and practical applications...The topics of the applications are well chosen; they represent contemporary tendencies in statistical science including a broad range of related subject material and interesting topics, from classical to modern. The tools and techniques that are present here can be applied in various disciplines like finance, banking, economics, accounting, marketing, social and health sciences and even to areas like psychology, engineering, and medicine...As such, there are more than good reasons why it should be strongly recommended to potential readers and users. * Journal of the Royal Statistical Society * Amos Golan is an acknowledged leader in the field of info-metrics, or better still, one of its originators. In writing this book, he has painfully put together a package that could turn out to be a trigger event in this new and evolving discipline.The work is an encyclopedic collection of specifics and details, something which surpasses much that is currently available in the marketplace. * Technometrics * "Info-metrics provides a unifying framework for inference and broadens the set of tools available to policy researchers. Foundations of Info-Metrics is an engaging and accessible treatment full of applications that shows the strengths of the approach for situations where traditional methods may struggle or are difficult to apply. More than 20 years since the development of maximum entropy econometrics, this book should attract new audiences to the ideas of info-metrics."-- * Journal of Policy Analysis and Management * It provides all the necessary tools and building blocks for using the info-metrics framework for solving problems, making decisions, and constructing models under incomplete information. The multidisciplinary applications provide a hands-on experience for the reader. That experience can be enhanced via the exercises and problems at the end of each chapter. * Kathy Wolcott, MathSciNet * Decision making under uncertainty is central to a number of different disciplines from neuro-science to psychology, sociology, politics and economics, and Dr. Golan provides a comprehensive account of the foundational issues involved and offers a synthesis that should be of interest to researchers across many fields. The Info-Metrics approach advocated acknowledges the limited nature of information available and provides a framework that could be used in many contexts. * Hashem Pesaran, John Elliot Distinguished Chair in Economics at USC, and Fellow of Trinity College Cambridge * Amos Golan has written a remarkably comprehensive and scholarly textbook on information theory as a foundation for inference in economics and the natural sciences. I expect that it will long remain a valuable resource for teachers, students, and practitioners. * John Harte, Professor of Ecosystem Sciences, UC Berkeley * The book provides a comprehensive coverage of all major topics built on or enveloping the entropy maximization principle. While offering appropriate technical depths on the core topics, it features several application case studies at a level beyond any existing books on entropy maximization. Its contemporary feel is among the most attractive aspects of this book, making it ideal for students and researchers alike. * Min Chen, Professor of Scientific Visualization, University of Oxford * The publication of Foundations of Info-Metrics is a paradigm-changing event. Golan systematically shows the generality and power of the method, illustrated by many important and detailed examples and accompanied by a careful comparison of info-metrics with other widely used data modeling systems. For scientists and social scientists working with incomplete, noisy, and inadequate data, which is all of us, this book provides an essential breakthrough to new perspectives. * Duncan K. Foley Leo Model Professor of Economics, New School for Social Research * From the founder of info-metrics comes this overview of their foundations. This book addresses in a very readable way the fundamental logical, philosophical and practical issues of info-metrics, including causal inference, information processing, and modeling/theory building in the sciences. * J. Michael Dunn, Indiana University, Founding Dean Emeritus and Professor Emeritus of the School of Informatics and Computing, and Oscar Ewing Professor Emeritus of Philosophy * Each chapter comes with a set of carefully designed exercises and problems. I am also delighted to see a dedicated info-metrics website that provides codes and data for all examples in this book, interactive examples, and additional materials. I have no doubt that this book should be of interest to researchers in many fields of social and natural science and is an ideal choice for an introductory course in information theory. * Ximing Wu, American Journal of Agricultural Economics *