Full Product Details
Author: Amos Golan (Professor, Professor, Department of Economics, American University)
Publisher: Oxford University Press Inc
Imprint: Oxford University Press Inc
Dimensions:
Width: 23.60cm
, Height: 3.30cm
, Length: 16.50cm
Weight: 0.930kg
ISBN: 9780199349524
ISBN 10: 0199349525
Pages: 488
Publication Date: 18 January 2018
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
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
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 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
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 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
Author Information
Amos Golan is a professor of economics and directs the Info-Metrics Institute at American University. He is also an External Professor at the Santa Fe Institute and a Senior Associate at Pembroke College, Oxford. His research is primarily in the interdisciplinary field of info-metrics - the science and practice of information processing, modeling, inference, and problem solving with insufficient information. He has published in economics, econometrics, statistics, mathematics, physics and philosophy journals. His books include Maximum Entropy Econometrics: Robust Estimation with Limited Data (coauthored with Judge and Miller) and Information and Entropy Econometrics - A Review and Synthesis.
