Description
Info-metrics is a framework for modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty.In Advances in Info-Metrics, Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah bring together a group of thirty experts to expand the study of info-metrics across the sciences and demonstrate how to solve problems using this interdisciplinary framework. Building on the theoretical underpinnings of info-metrics, the volume sheds new light on statistical inference, information, and general problem solving. The book explores the basis of information-theoretic inference and its mathematical and philosophical foundations. It emphasizes the interrelationship between information and inference and includes explanations of model building, theory creation, estimation, prediction, and decision making. Each of the nineteen chapters provides the necessary tools for using the info-metrics framework to solve a problem. The collection covers recent developments in the field, as well as many new cross-disciplinary case studies and examples.Designed to be accessible for researchers, graduate students, and practitioners across disciplines, this book provides a clear, hands-on experience for readers interested in solving problems when presented with incomplete and imperfect information.
Table of Contents
Part I. Information, Meaning and Value1. Information and its Value J. Michael Dunn and Amos Golan2. A Computational Theory of Meaning Pieter AdriaansPart II. Information Theory and Behavior3. Inferring the Logic of Collective Information Processors Bryan C. Daniels4. Information Theoretic Perspective on Human Ability Hwan-sik Choi5. Information Recovery Related to Adaptive Economic Behavior and Choice George JudgePart III. Info-metrics and Theory Construction6. Maximum Entropy: A Foundation for a Unified Theory of Ecology John Harte7. Entropic Dynamics: Mechanics without Mechanism Ariel CatichaPart IV. Info-metrics in Action I: Prediction and Forecasts8. Towards Deciphering of Cancer Imbalances: Using Information Theoretic Surprisal Analysis for Understanding of Cancer Systems Nataly Kravchenko-Balasha9. Forecasting Socio Economic Distributions on Small Area Spatial Domains for Count Data Rosa Bernardini Papalia and Esteban Fernandez-Vazquez10. Performance and Risk Aversion of Funds with Benchmarks: A Large Deviations Approach F. Douglas Foster and Michael Stutzer11. Estimating Macroeconomic Uncertainty and Discord Using Info-Metrics Kajal Lahiri and Wuwei Wang12. Reduced perplexity: A simplified perspective on assessing probabilistic forecasts Kenric P. NelsonPart V. Info-metrics in Action II: Statistical and Econometrics Inference13. Info-metric Methods for the Estimation of Models with Group-Specifc Moment Conditions Martyn Andrews, Alastair R. Hall, Rabeya Khatoony, and James Lincoln14. Generalized Empirical Likelihood Based Kernel Estimation of Spatially Similar Densities Kuangyu Wen and Ximing Wu15. Rényi Divergence and Monte Carlo Integration John Geweke and Garland DurhamPart VI. Info-metrics, Data Intelligence and Visualization16. Cost-Benefit Analysis of Data Intelligence - Its Broader Interpretations Min Chen17. The Role of Information Channel in Visual Computing Miquel Feixas and Mateu SbertPart VII. Info-metrics and Nonparametric Inference18. Entropy-based Model Averaging Estimation of Nonparametric Models Yundong Tu19. Information Theoretic Estimation of Econometric Functions Millie Yi Mao and Aman Ullah
