Description
Book SynopsisAdvances in Info-Metrics expands the study of info-metrics - a framework for modeling, reasoning, and drawing inferences under conditions of insufficient information - across disciplines. This volume explores the mathematical and philosophical foundations of information-theoretic inference and demonstrates how to solve problems using new cross-disciplinary case studies and examples.
Trade ReviewThe 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. * Wojciech Szpankowski, 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 School of 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 *
Table of ContentsPart I. Information, Meaning and Value 1. Information and its Value J. Michael Dunn and Amos Golan 2. A Computational Theory of Meaning Pieter Adriaans Part II. Information Theory and Behavior 3. Inferring the Logic of Collective Information Processors Bryan C. Daniels 4. Information Theoretic Perspective on Human Ability Hwan-sik Choi 5. Information Recovery Related to Adaptive Economic Behavior and Choice George Judge Part III. Info-metrics and Theory Construction 6. Maximum Entropy: A Foundation for a Unified Theory of Ecology John Harte 7. Entropic Dynamics: Mechanics without Mechanism Ariel Caticha Part IV. Info-metrics in Action I: Prediction and Forecasts 8. Towards Deciphering of Cancer Imbalances: Using Information Theoretic Surprisal Analysis for Understanding of Cancer Systems Nataly Kravchenko-Balasha 9. Forecasting Socio Economic Distributions on Small Area Spatial Domains for Count Data Rosa Bernardini Papalia and Esteban Fernandez-Vazquez 10. Performance and Risk Aversion of Funds with Benchmarks: A Large Deviations Approach F. Douglas Foster and Michael Stutzer 11. Estimating Macroeconomic Uncertainty and Discord Using Info-Metrics Kajal Lahiri and Wuwei Wang 12. Reduced perplexity: A simplified perspective on assessing probabilistic forecasts Kenric P. Nelson Part V. Info-metrics in Action II: Statistical and Econometrics Inference 13. Info-metric Methods for the Estimation of Models with Group-Specifc Moment Conditions Martyn Andrews, Alastair R. Hall, Rabeya Khatoony, and James Lincoln 14. Generalized Empirical Likelihood Based Kernel Estimation of Spatially Similar Densities Kuangyu Wen and Ximing Wu 15. Rényi Divergence and Monte Carlo Integration John Geweke and Garland Durham Part VI. Info-metrics, Data Intelligence and Visualization 16. Cost-Benefit Analysis of Data Intelligence - Its Broader Interpretations Min Chen 17. The Role of Information Channel in Visual Computing Miquel Feixas and Mateu Sbert Part VII. Info-metrics and Nonparametric Inference 18. Entropy-based Model Averaging Estimation of Nonparametric Models Yundong Tu 19. Information Theoretic Estimation of Econometric Functions Millie Yi Mao and Aman Ullah
