Advances in Info-Metrics

“The book should be of interest to researchers and practitioners who need to present convincing conclusions, and would make a good addition to libraries supporting advanced studies in computer and information sciences.” – R. Bharath, emeritus, Northern Michigan University, CHOICE”Information permeates every corner of our lives and shapes our universe. Advances in Info-Metrics expands the study of info-metrics and provides a framework for modeling, reasoning, and drawing inferences across disciplines. It explores philosophical and mathematical foundations of information. It also demonstrates how to solve problems through many cross-disciplinary examples arising in biology, medicine, economy, and data science.” – WojciechSzpankowski, Saul Rosen Professor of Computer Science, Purdue University”This volume has emerged from the Info-metrics Institute, set up by one of the authors, Professor Golan, over a decade ago. The Institute has since done much to stimulate research in a broad area of theoretical and empirical statistics. The present volume, consisting of many and varied research papers, should certainly be valuable in stimulating further research.” – Peter M. Robinson, Tooke Emeritus Professor of Economic Science and Statistics, London Schoolof Economics”Impressive contributions in this volume address many aspects of information theory concepts, measures, and applications. It is a multidisciplinary tour de force, covering foundations, inference, and applications to finance, computing, behavioral models, and much more.” – Esfandiar Maasoumi, Arts & Sciences Distinguished Professor, Emory University

Min Chen is the Professor of Scientific Visualization at Oxford University and a fellow of Pembroke College. He has co-authored over 200 publications, including his recent contributions in areas such as theory of visualization, video visualization, visual analytics, and perception and cognition in visualization.

J. Michael Dunn is Oscar Ewing Professor Emeritus of Philosophy, Professor Emeritus of Informatics and Computer Science, at Indiana University, where he spent most of his career and was founding dean of the School of Informatics. He is an affiliate member of the Info-Metrics Institute at the American University. His research has focused on information based logics.

Amos Golan is Professor of Economics and Director of 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. A leader in info-metrics, he is the author of Foundations of Info-Metrics: Information, Inference, and Incomplete Information.

Aman Ullah is Distinguished Professor of Economics at the University of California, Riverside. The author of 10 books and more than 160 published articles, Professor Ullah has helped shape the field of econometrics and has pioneered the development and application of non-parametric and semi-parametric methods.