Product details:
| ISBN13: | 9780190636685 |
| ISBN10: | 0190636688 |
| Binding: | Hardback |
| No. of pages: | 560 pages |
| Size: | 168x249x33 mm |
| Weight: | 1089 g |
| Language: | English |
| 272 |
Category:
Advances in Info-Metrics
Information and Information Processing across Disciplines
Publisher: OUP USA
Date of Publication: 20 January 2021
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Short description:
Advances 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.
Long 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.
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.
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.
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.
Table of Contents:
Part 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
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
