Nonlinear Dynamics and Economics
Nonlinear Dynamics and Economics

Author: William A. Barnett

Publisher: Cambridge University Press

Published: 1996-10-28

Total Pages: 426

ISBN-13: 9780521471411

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This 1997 book presents developments in nonlinear economic dynamics along with related research from other fields, including mathematics, statistics, biology, and physics.

Geometric Science of Information
Geometric Science of Information

Author: Frank Nielsen

Publisher: Springer Nature

Published: 2023-07-31

Total Pages: 641

ISBN-13: 3031382714

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This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.

Computational Information Geometry
Computational Information Geometry

Author: Frank Nielsen

Publisher: Springer

Published: 2016-11-24

Total Pages: 312

ISBN-13: 3319470582

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This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.

Geometrical Foundations of Asymptotic Inference
Geometrical Foundations of Asymptotic Inference

Author: Robert E. Kass

Publisher: John Wiley & Sons

Published: 2011-09-09

Total Pages: 376

ISBN-13: 1118165977

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Differential geometry provides an aesthetically appealing and oftenrevealing view of statistical inference. Beginning with anelementary treatment of one-parameter statistical models and endingwith an overview of recent developments, this is the first book toprovide an introduction to the subject that is largely accessibleto readers not already familiar with differential geometry. It alsogives a streamlined entry into the field to readers with richermathematical backgrounds. Much space is devoted to curvedexponential families, which are of interest not only because theymay be studied geometrically but also because they are analyticallyconvenient, so that results may be derived rigorously. In addition,several appendices provide useful mathematical material on basicconcepts in differential geometry. Topics covered include thefollowing: * Basic properties of curved exponential families * Elements of second-order, asymptotic theory * The Fisher-Efron-Amari theory of information loss and recovery * Jeffreys-Rao information-metric Riemannian geometry * Curvature measures of nonlinearity * Geometrically motivated diagnostics for exponential familyregression * Geometrical theory of divergence functions * A classification of and introduction to additional work in thefield

Generalized Method of Moments
Generalized Method of Moments

Author: Alastair R. Hall

Publisher: Oxford University Press

Published: 2005

Total Pages: 413

ISBN-13: 0198775210

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Generalized Method of Moments (GMM) has become one of the main statistical tools for the analysis of economic and financial data. This book is the first to provide an intuitive introduction to the method combined with a unified treatment of GMM statistical theory and a survey of recentimportant developments in the field. Providing a comprehensive treatment of GMM estimation and inference, it is designed as a resource for both the theory and practice of GMM: it discusses and proves formally all the main statistical results, and illustrates all inference techniques using empiricalexamples in macroeconomics and finance.Building from the instrumental variables estimator in static linear models, it presents the asymptotic statistical theory of GMM in nonlinear dynamic models. Within this framework it covers classical results on estimation and inference techniques, such as the overidentifying restrictions test andtests of structural stability, and reviews the finite sample performance of these inference methods. And it discusses in detail recent developments on covariance matrix estimation, the impact of model misspecification, moment selection, the use of the bootstrap, and weak instrumentasymptotics.

Statistics
Statistics

Author: Karim M. Abadir

Publisher: Cambridge University Press

Published: 2018-11-08

Total Pages: 793

ISBN-13: 0521822882

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Serves as a bridge between elementary and specialized statistics, with exercises that are fully solved and systematically built up.

Statistics for the 21st Century
Statistics for the 21st Century

Author: Gabor Szekely

Publisher: CRC Press

Published: 2000-01-25

Total Pages: 500

ISBN-13: 1482277492

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A selection of articles presented at the Eighth Lukacs Symposium held at the Bowling Green State University, Ohio. They discuss consistency and accuracy of the sequential bootstrap, hypothesis testing, geometry in multivariate analysis, the classical extreme value model, the analysis of cross-classified data, diffusion models for neural activity, e