Special Issue Information And Entropy Econometrics

Download Special Issue Information And Entropy Econometrics full books in PDF, epub, and Kindle. Read online Special Issue Information And Entropy Econometrics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Information and Entropy Econometrics

Author : Amos Golan
Publisher : Now Publishers Inc
ISBN 13 : 160198104X
Total Pages : 167 pages
Book Rating : 4.6/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Information and Entropy Econometrics by : Amos Golan

Download or read book Information and Entropy Econometrics written by Amos Golan and published by Now Publishers Inc. This book was released on 2008 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information and Entropy Econometrics - A Review and Synthesis summarizes the basics of information theoretic methods in econometrics and the connecting theme among these methods. The sub-class of methods that treat the observed sample moments as stochastic is discussed in greater details. I Information and Entropy Econometrics - A Review and Synthesis -focuses on inter-connection between information theory, estimation and inference. -provides a detailed survey of information theoretic concepts and quantities used within econometrics and then show how these quantities are used within IEE. -pays special attention for the interpretation of these quantities and for describing the relationships between information theoretic estimators and traditional estimators. Readers need a basic knowledge of econometrics, but do not need prior knowledge of information theory. The survey is self contained and interested readers can replicate all results and examples provided. Whenever necessary the readers are referred to the relevant literature. Information and Entropy Econometrics - A Review and Synthesis will benefit researchers looking for a concise introduction to the basics of IEE and to acquire the basic tools necessary for using and understanding these methods. Applied researchers can use the book to learn improved new methods, and applications for extracting information from noisy and limited data and for learning from these data.

Maximum Entropy Econometrics

Author : Amos Golan
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 336 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!

Book Synopsis Maximum Entropy Econometrics by : Amos Golan

Download or read book Maximum Entropy Econometrics written by Amos Golan and published by John Wiley & Sons. This book was released on 1996-05 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph examines the problem of recovering and processing information when the underlying data are limited or partial, and the corresponding models that form the basis for estimation and inference are ill-posed or undermined

Formal Theories of Information

Author : Giovanni Sommaruga
Publisher : Springer Science & Business Media
ISBN 13 : 3642006582
Total Pages : 275 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Formal Theories of Information by : Giovanni Sommaruga

Download or read book Formal Theories of Information written by Giovanni Sommaruga and published by Springer Science & Business Media. This book was released on 2009-04-22 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the scientific outcome of a joint effort of the computer science departments of the universities of Berne, Fribourg and Neuchâtel. Within an initiative devoted to "Information and Knowledge", these research groups collaborated over several years on issues of logic, probability, inference, and deduction. The goal of this volume is to examine whether there is any common ground between the different approaches to the concept of information. The structure of this book could be represented by a circular model, with an innermost syntactical circle, comprising statistical and algorithmic approaches; a second, larger circle, the semantical one, in which "meaning" enters the stage; and finally an outermost circle, the pragmatic one, casting light on real-life logical reasoning. These articles are complemented by two philosophical contributions exploring the wide conceptual field as well as taking stock of the articles on the various formal theories of information.

Generalized Statistical Thermodynamics

Author : Themis Matsoukas
Publisher : Springer
ISBN 13 : 3030041492
Total Pages : 373 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Generalized Statistical Thermodynamics by : Themis Matsoukas

Download or read book Generalized Statistical Thermodynamics written by Themis Matsoukas and published by Springer. This book was released on 2019-05-08 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives the definitive mathematical answer to what thermodynamics really is: a variational calculus applied to probability distributions. Extending Gibbs's notion of ensemble, the Author imagines the ensemble of all possible probability distributions and assigns probabilities to them by selection rules that are fairly general. The calculus of the most probable distribution in the ensemble produces the entire network of mathematical relationships we recognize as thermodynamics. The first part of the book develops the theory for discrete and continuous distributions while the second part applies this thermodynamic calculus to problems in population balance theory and shows how the emergence of a giant component in aggregation, and the shattering transition in fragmentation may be treated as formal phase transitions. While the book is intended as a research monograph, the material is self-contained and the style sufficiently tutorial to be accessible for self-paced study by an advanced graduate student in such fields as physics, chemistry, and engineering.

Maximum Entropy and Bayesian Methods Garching, Germany 1998

Author : Wolfgang von der Linden
Publisher : Springer Science & Business Media
ISBN 13 : 9401147108
Total Pages : 380 pages
Book Rating : 4.4/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Maximum Entropy and Bayesian Methods Garching, Germany 1998 by : Wolfgang von der Linden

Download or read book Maximum Entropy and Bayesian Methods Garching, Germany 1998 written by Wolfgang von der Linden and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1978 Edwin T. Jaynes and Myron Tribus initiated a series of workshops to exchange ideas and recent developments in technical aspects and applications of Bayesian probability theory. The first workshop was held at the University of Wyoming in 1981 organized by C.R. Smith and W.T. Grandy. Due to its success, the workshop was held annually during the last 18 years. Over the years, the emphasis of the workshop shifted gradually from fundamental concepts of Bayesian probability theory to increasingly realistic and challenging applications. The 18th international workshop on Maximum Entropy and Bayesian Methods was held in Garching / Munich (Germany) (27-31. July 1998). Opening lectures by G. Larry Bretthorst and by Myron Tribus were dedicated to one of th the pioneers of Bayesian probability theory who died on the 30 of April 1998: Edwin Thompson Jaynes. Jaynes revealed and advocated the correct meaning of 'probability' as the state of knowledge rather than a physical property. This inter pretation allowed him to unravel longstanding mysteries and paradoxes. Bayesian probability theory, "the logic of science" - as E.T. Jaynes called it - provides the framework to make the best possible scientific inference given all available exper imental and theoretical information. We gratefully acknowledge the efforts of Tribus and Bretthorst in commemorating the outstanding contributions of E.T. Jaynes to the development of probability theory.

Universal Estimation of Information Measures for Analog Sources

Author : Qing Wang
Publisher : Now Publishers Inc
ISBN 13 : 1601982305
Total Pages : 104 pages
Book Rating : 4.6/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Universal Estimation of Information Measures for Analog Sources by : Qing Wang

Download or read book Universal Estimation of Information Measures for Analog Sources written by Qing Wang and published by Now Publishers Inc. This book was released on 2009-05-26 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entropy, mutual information and divergence measure the randomness, dependence and dissimilarity, respectively, of random objects. In addition to their prominent role in information theory, they have found numerous applications, among others, in probability theory statistics, physics, chemistry, molecular biology, ecology, bioinformatics, neuroscience, machine learning, linguistics, and finance. Many of these applications require a universal estimate of information measures which does not assume knowledge of the statistical properties of the observed data. Over the past few decades, several nonparametric algorithms have been proposed to estimate information measures. Universal Estimation of Information Measures for Analog Sources presents a comprehensive survey of universal estimation of information measures for memoryless analog (real-valued or real vector-valued) sources with an emphasis on the estimation of mutual information and divergence and their applications. The book reviews the consistency of the universal algorithms and the corresponding sufficient conditions as well as their speed of convergence. Universal Estimation of Information Measures for Analog Sources provides a comprehensive review of an increasingly important topic in Information Theory. It will be of interest to students, practitioners and researchers working in Information Theory

Econometrics of Information and Efficiency

Author : Jati Sengupta
Publisher : Springer Science & Business Media
ISBN 13 : 9401582025
Total Pages : 267 pages
Book Rating : 4.4/5 (15 download)

DOWNLOAD NOW!

Book Synopsis Econometrics of Information and Efficiency by : Jati Sengupta

Download or read book Econometrics of Information and Efficiency written by Jati Sengupta and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Econometrics as an applied discipline attempts to use information in a most efficient manner, yet the information theory and entropy approach developed by Shannon and others has not played much of a role in applied econometrics. Econometrics of Information and Efficiency bridges the gap. Broadly viewed, information theory analyzes the uncertainty of a given set of data and its probabilistic characteristics. Whereas the economic theory of information emphasizes the value of information to agents in a market, the entropy theory stresses the various aspects of imprecision of data and their interactions with the subjective decision processes. The tools of information theory, such as the maximum entropy principle, mutual information and the minimum discrepancy are useful in several areas of statistical inference, e.g., Bayesian estimation, expected maximum likelihood principle, the fuzzy statistical regression. This volume analyzes the applications of these tools of information theory to the most commonly used models in econometrics. The outstanding features of Econometrics of Information and Efficiency are: A critical survey of the uses of information theory in economics and econometrics; An integration of applied information theory and economic efficiency analysis; The development of a new economic hypothesis relating information theory to economic growth models; New lines of research are emphasized.

Advances in Info-Metrics

Author : Min Chen
Publisher : Oxford University Press, USA
ISBN 13 : 0190636688
Total Pages : 557 pages
Book Rating : 4.1/5 (96 download)

DOWNLOAD NOW!

Book Synopsis Advances in Info-Metrics by : Min Chen

Download or read book Advances in Info-Metrics written by Min Chen and published by Oxford University Press, USA. This book was released on 2020 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Info-metrics is a framework for rational inference on the basis of limited, or insufficient, information. It is the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. Info-metrics has its roots in information theory (Shannon, 1948), Bernoulli's and Laplace's principle of insufficient reason (Bernoulli, 1713) and its offspring the principle of maximum entropy (Jaynes, 1957). It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. Within a constrained optimization setup, info-metrics provides a simple way for modeling and understanding all types of systems and problems. It is a framework for processing the available information with minimal reliance on assumptions and information that cannot be validated. Quite often a model cannot be validated with finite data. Examples include biological, social and behavioral models, as well as models of cognition and knowledge. The info-metrics framework extends naturally for tackling these types of common problems"--

Econometric Foundations Pack with CD-ROM

Author : Ron Mittelhammer (Prof.)
Publisher : Cambridge University Press
ISBN 13 : 9780521623940
Total Pages : 794 pages
Book Rating : 4.6/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Econometric Foundations Pack with CD-ROM by : Ron Mittelhammer (Prof.)

Download or read book Econometric Foundations Pack with CD-ROM written by Ron Mittelhammer (Prof.) and published by Cambridge University Press. This book was released on 2000-07-28 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text and accompanying CD-ROM develop step by step a modern approach to econometric problems. They are aimed at talented upper-level undergraduates, graduate students, and professionals wishing to acquaint themselves with the pinciples and procedures for information processing and recovery from samples of economic data. The text fully provides an operational understanding of a rich set of estimation and inference tools, including tradional likelihood based and non-traditional non-likelihood based procedures, that can be used in conjuction with the computer to address economic problems.

The Theory of Epistemic Fields

Author : Kofi Kissi Dompere
Publisher : Springer Nature
ISBN 13 : 3031424700
Total Pages : 581 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis The Theory of Epistemic Fields by : Kofi Kissi Dompere

Download or read book The Theory of Epistemic Fields written by Kofi Kissi Dompere and published by Springer Nature. This book was released on 2024 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is about the development of the theory of epistemic fields with the corresponding relational and information fields as a framework for the understanding of strategies and tactics of the theory of knowing as the production of intellectual investment flows and the theory of knowledge accumulation as the production of intellectual capital stocks in systems of factories and departments providing the foundations for the development of open algorithms in the open space of problem-solution dualities. The concepts and the roles of thinking and reasoning with curiosity, creativity, hope, Ill-posed problems, phantom problems, unsolved problems, misinformation, disinformation, fake news, and courage are introduced, defined, and analyzed on the cognitive journeys over the space of ignorance-knowledge dualities, where dualistic-polar conflicts between duals in the space of ignorance-knowledge dualities are resolved with the instruments of fuzzy optimization, the results of which are used to induced the zones of ignorance, the zones of knowledge, and the zones of contentions. A complete development of the set of connecting paths of spaces and sub-spaces is provided, where all varieties, categories, and spaces reside in dualistic-polar structures with knowledge stock viewed as a single tree with the same roots, one trunk, many branches, and a fruit cocktail. The ontological space contains the space of actual-potential dualities as the primary category of knowing, and the epistemological space contains the space of imagination-reality dualities as the derived category of knowing within the space of primary-derived dualities. The space of potentials contains the space of imaginations which contains the sub-spaces of possibility-impossibility, probability-improbability, and possibility-probability dualities with corresponding spaces of necessity-freedom and anticipation-expectation dualities leading to the conception of the possible-world-impossible-world dualities in the space of semantic-non-semantic dualities. This book is also a continuation of the sequence of my works on the theories of paradigms of thought, rationality, info-statics, info-dynamics, entropy, problem-solution dualities in self-contained mathematics and philosophy, and their relational connectivity to information, language, knowing, knowledge, cognitive practices and open maching learning relative to nominalism, and the space of construction-reduction dualities over the spaces of fundamental-applied, production-consumption, input-output, and cost-benefit dualities.

The Theory of Problem-Solution Dualities and Polarities

Author : Kofi Kissi Dompere
Publisher : Springer Nature
ISBN 13 : 303090279X
Total Pages : 333 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis The Theory of Problem-Solution Dualities and Polarities by : Kofi Kissi Dompere

Download or read book The Theory of Problem-Solution Dualities and Polarities written by Kofi Kissi Dompere and published by Springer Nature. This book was released on 2022-04-25 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with the development of the understanding of the relational structures of information, knowledge, decision–choice processes of problems and solutions in the theory and practice regarding diversity and unity principles of knowing, science, non-science, and information–knowledge systems through dualistic-polar conditions of variety existence and nonexistence. It is a continuation of the sequence of my epistemic works on the theories on fuzzy rationality, info-statics, info-dynamics, entropy, and their relational connectivity to information, language, knowing, knowledge, cognitive practices relative to variety identification–problem–solution dualities, variety transformation–problem–solution dualities, and variety certainty–uncertainty principle in all areas of knowing and human actions regarding general social transformations. It is also an economic–theoretic approach in understanding the diversity and unity of knowing and science through neuro-decision–choice actions over the space of problem–solution dualities and polarities. The problem–solution dualities are argued to connect all areas of knowing including science and non-science, social science, and non-social-science into unity with diversities under neuro-decision–choice actions to support human existence and nonexistence over the space of static–dynamic dualities. The concepts of diversity and unity are defined and explicated to connect to the tactics and strategies of decision–choice actions over the space of problem–solution dualities. The concepts of problem and solution are defined and explicated not in the space of absoluteness but rather in the space of relativity based on real cost–benefit conditions which are shown to be connected to the general parent–offspring infinite process, where every solution generates new problem(s) which then generates a search for new solutions within the space of minimum–maximum dualities in the decision–choice space under the principle of non-satiation over the space of preference–non-preference dualities with analytical tools drawn from the fuzzy paradigm of thought which connects the conditions of the principle of opposites to the conditions of neuro-decision–choice actions in the zone of variety identifications and transformations. The Monograph would be useful to all areas of Research, Learning and Teaching at Advanced Stages of Knowing and Knowledge Production.

Data Science: Measuring Uncertainties

Author : Carlos Alberto De Bragança Pereira
Publisher :
ISBN 13 : 9783036507934
Total Pages : 256 pages
Book Rating : 4.5/5 (79 download)

DOWNLOAD NOW!

Book Synopsis Data Science: Measuring Uncertainties by : Carlos Alberto De Bragança Pereira

Download or read book Data Science: Measuring Uncertainties written by Carlos Alberto De Bragança Pereira and published by . This book was released on 2021 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increase in data processing and storage capacity, a large amount of data is available. Data without analysis does not have much value. Thus, the demand for data analysis is increasing daily, and the consequence is the appearance of a large number of jobs and published articles. Data science has emerged as a multidisciplinary field to support data-driven activities, integrating and developing ideas, methods, and processes to extract information from data. This includes methods built from different knowledge areas: Statistics, Computer Science, Mathematics, Physics, Information Science, and Engineering. This mixture of areas has given rise to what we call Data Science. New solutions to the new problems are reproducing rapidly to generate large volumes of data. Current and future challenges require greater care in creating new solutions that satisfy the rationality for each type of problem. Labels such as Big Data, Data Science, Machine Learning, Statistical Learning, and Artificial Intelligence are demanding more sophistication in the foundations and how they are being applied. This point highlights the importance of building the foundations of Data Science. This book is dedicated to solutions and discussions of measuring uncertainties in data analysis problems.

Probability Theory and Statistical Inference

Author : Aris Spanos
Publisher : Cambridge University Press
ISBN 13 : 1107185149
Total Pages : 787 pages
Book Rating : 4.1/5 (71 download)

DOWNLOAD NOW!

Book Synopsis Probability Theory and Statistical Inference by : Aris Spanos

Download or read book Probability Theory and Statistical Inference written by Aris Spanos and published by Cambridge University Press. This book was released on 2019-09-19 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: This empirical research methods course enables informed implementation of statistical procedures, giving rise to trustworthy evidence.

Forecasting: principles and practice

Author : Rob J Hyndman
Publisher : OTexts
ISBN 13 : 0987507117
Total Pages : 380 pages
Book Rating : 4.9/5 (875 download)

DOWNLOAD NOW!

Book Synopsis Forecasting: principles and practice by : Rob J Hyndman

Download or read book Forecasting: principles and practice written by Rob J Hyndman and published by OTexts. This book was released on 2018-05-08 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

Utility-Based Learning from Data

Author : Craig Friedman
Publisher : CRC Press
ISBN 13 : 1000738140
Total Pages : 350 pages
Book Rating : 4.0/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Utility-Based Learning from Data by : Craig Friedman

Download or read book Utility-Based Learning from Data written by Craig Friedman and published by CRC Press. This book was released on 2016-04-19 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used t

Statistical and Inductive Inference by Minimum Message Length

Author : C.S. Wallace
Publisher : Springer Science & Business Media
ISBN 13 : 9780387237954
Total Pages : 456 pages
Book Rating : 4.2/5 (379 download)

DOWNLOAD NOW!

Book Synopsis Statistical and Inductive Inference by Minimum Message Length by : C.S. Wallace

Download or read book Statistical and Inductive Inference by Minimum Message Length written by C.S. Wallace and published by Springer Science & Business Media. This book was released on 2005-05-26 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Minimum Message Length (MML) Principle is an information-theoretic approach to induction, hypothesis testing, model selection, and statistical inference. MML, which provides a formal specification for the implementation of Occam's Razor, asserts that the ‘best’ explanation of observed data is the shortest. Further, an explanation is acceptable (i.e. the induction is justified) only if the explanation is shorter than the original data. This book gives a sound introduction to the Minimum Message Length Principle and its applications, provides the theoretical arguments for the adoption of the principle, and shows the development of certain approximations that assist its practical application. MML appears also to provide both a normative and a descriptive basis for inductive reasoning generally, and scientific induction in particular. The book describes this basis and aims to show its relevance to the Philosophy of Science. Statistical and Inductive Inference by Minimum Message Length will be of special interest to graduate students and researchers in Machine Learning and Data Mining, scientists and analysts in various disciplines wishing to make use of computer techniques for hypothesis discovery, statisticians and econometricians interested in the underlying theory of their discipline, and persons interested in the Philosophy of Science. The book could also be used in a graduate-level course in Machine Learning and Estimation and Model-selection, Econometrics and Data Mining. C.S. Wallace was appointed Foundation Chair of Computer Science at Monash University in 1968, at the age of 35, where he worked until his death in 2004. He received an ACM Fellowship in 1995, and was appointed Professor Emeritus in 1996. Professor Wallace made numerous significant contributions to diverse areas of Computer Science, such as Computer Architecture, Simulation and Machine Learning. His final research focused primarily on the Minimum Message Length Principle.

Forest Economics

Author : Daowei Zhang
Publisher : UBC Press
ISBN 13 : 0774821558
Total Pages : 414 pages
Book Rating : 4.7/5 (748 download)

DOWNLOAD NOW!

Book Synopsis Forest Economics by : Daowei Zhang

Download or read book Forest Economics written by Daowei Zhang and published by UBC Press. This book was released on 2011-09-15 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forestry cannot be isolated from the forces that drive all economic activity. It involves using land, labour, and capital to produce goods and services from forests, while economics helps in understanding how this can be done in ways that will best meet the needs of people. Therefore, a firm grounding in economics is integral to sound forestry policies and practices. This book, a major revision and expansion of Peter H. Pearse’s 1990 classic, provides this grounding. Updated and enhanced with advanced empirical presentation of materials, it covers the basic economic principles and concepts and their application to modern forest management and policy issues. Forest Economics draws on the strengths of two of the field’s leading practitioners who have more than fifty years of combined experience in teaching forest economics in the United States and Canada. Its comprehensive and systematic analysis of forest issues makes it an indispensable resource for students and practitioners of forest management, natural resource conservation, and environmental studies.