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Author : Shun'ichi Amari
Publisher : IMS
ISBN 13 : 9780940600126
Total Pages : 254 pages
Book Rating : 4.6/5 (1 download)
Download or read book Differential Geometry in Statistical Inference written by Shun'ichi Amari and published by IMS. This book was released on 1987 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shunʼichi Amari
Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.:/5 (275 download)
Download or read book Differential Geometry in Statistical Inference written by Shunʼichi Amari and published by . This book was released on 2008* with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This e-book is the product of Project Euclid and its mission to advance scholarly communication in the field of theoretical and applied mathematics and statistics. Project Euclid was developed and deployed by the Cornell University Library and is jointly managed by Cornell and the Duke University Press.
Author : Shun-ichi Amari
Publisher : Springer Science & Business Media
ISBN 13 : 1461250560
Total Pages : 302 pages
Book Rating : 4.4/5 (612 download)
Download or read book Differential-Geometrical Methods in Statistics written by Shun-ichi Amari and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "In this Lecture Note volume the author describes his differential-geometric approach to parametrical statistical problems summarizing the results he had published in a series of papers in the last five years. The author provides a geometric framework for a special class of test and estimation procedures for curved exponential families. ... ... The material and ideas presented in this volume are important and it is recommended to everybody interested in the connection between statistics and geometry ..." #Metrika#1 "More than hundred references are given showing the growing interest in differential geometry with respect to statistics. The book can only strongly be recommended to a geodesist since it offers many new insights into statistics on a familiar ground." #Manuscripta Geodaetica#2
Author : M.K. Murray
Publisher : Routledge
ISBN 13 : 1351455117
Total Pages : 164 pages
Book Rating : 4.3/5 (514 download)
Download or read book Differential Geometry and Statistics written by M.K. Murray and published by Routledge. This book was released on 2017-10-19 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several years ago our statistical friends and relations introduced us to the work of Amari and Barndorff-Nielsen on applications of differential geometry to statistics. This book has arisen because we believe that there is a deep relationship between statistics and differential geometry and moreoever that this relationship uses parts of differential geometry, particularly its 'higher-order' aspects not readily accessible to a statistical audience from the existing literature. It is, in part, a long reply to the frequent requests we have had for references on differential geometry! While we have not gone beyond the path-breaking work of Amari and Barndorff- Nielsen in the realm of applications, our book gives some new explanations of their ideas from a first principles point of view as far as geometry is concerned. In particular it seeks to explain why geometry should enter into parametric statistics, and how the theory of asymptotic expansions involves a form of higher-order differential geometry. The first chapter of the book explores exponential families as flat geometries. Indeed the whole notion of using log-likelihoods amounts to exploiting a particular form of flat space known as an affine geometry, in which straight lines and planes make sense, but lengths and angles are absent. We use these geometric ideas to introduce the notion of the second fundamental form of a family whose vanishing characterises precisely the exponential families.
Author : Shun-ichi Amari
Publisher : American Mathematical Soc.
ISBN 13 : 9780821843024
Total Pages : 220 pages
Book Rating : 4.8/5 (43 download)
Download or read book Methods of Information Geometry written by Shun-ichi Amari and published by American Mathematical Soc.. This book was released on 2000 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information geometry provides the mathematical sciences with a fresh framework of analysis. This book presents a comprehensive introduction to the mathematical foundation of information geometry. It provides an overview of many areas of applications, such as statistics, linear systems, information theory, quantum mechanics, and convex analysis.
Author : Shun-ichi Amari
Publisher : Springer
ISBN 13 : 4431559787
Total Pages : 378 pages
Book Rating : 4.4/5 (315 download)
Download or read book Information Geometry and Its Applications written by Shun-ichi Amari and published by Springer. This book was released on 2016-02-02 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive book on information geometry, written by the founder of the field. It begins with an elementary introduction to dualistic geometry and proceeds to a wide range of applications, covering information science, engineering, and neuroscience. It consists of four parts, which on the whole can be read independently. A manifold with a divergence function is first introduced, leading directly to dualistic structure, the heart of information geometry. This part (Part I) can be apprehended without any knowledge of differential geometry. An intuitive explanation of modern differential geometry then follows in Part II, although the book is for the most part understandable without modern differential geometry. Information geometry of statistical inference, including time series analysis and semiparametric estimation (the Neyman–Scott problem), is demonstrated concisely in Part III. Applications addressed in Part IV include hot current topics in machine learning, signal processing, optimization, and neural networks. The book is interdisciplinary, connecting mathematics, information sciences, physics, and neurosciences, inviting readers to a new world of information and geometry. This book is highly recommended to graduate students and researchers who seek new mathematical methods and tools useful in their own fields.
Author : Hiroshi Matsuzoe
Publisher :
ISBN 13 : 9789814618762
Total Pages : 350 pages
Book Rating : 4.6/5 (187 download)
Download or read book Differential Geometrical Foundations of Information Geometry: Geometry of Statistical Manifolds and Divergences written by Hiroshi Matsuzoe and published by . This book was released on 2015-11-30 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Masanobu Taniguchi
Publisher : Springer Science & Business Media
ISBN 13 : 146121162X
Total Pages : 671 pages
Book Rating : 4.4/5 (612 download)
Download or read book Asymptotic Theory of Statistical Inference for Time Series written by Masanobu Taniguchi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual AR, MA, and ARMA processes. A wide variety of stochastic processes, including non-Gaussian linear processes, long-memory processes, nonlinear processes, non-ergodic processes and diffusion processes are described. The authors discuss estimation and testing theory and many other relevant statistical methods and techniques.
Author : Paul Marriott
Publisher : Cambridge University Press
ISBN 13 : 9780521651165
Total Pages : 342 pages
Book Rating : 4.6/5 (511 download)
Download or read book Applications of Differential Geometry to Econometrics written by Paul Marriott and published by Cambridge University Press. This book was released on 2000-08-31 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 2000, this volume was an early example of the application of differential geometry to econometrics.
Author : D. R. Cox
Publisher : Cambridge University Press
ISBN 13 : 9781139459136
Total Pages : pages
Book Rating : 4.4/5 (591 download)
Download or read book Principles of Statistical Inference written by D. R. Cox and published by Cambridge University Press. This book was released on 2006-08-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.
Author : Toshiaki Adachi
Publisher : World Scientific
ISBN 13 : 981435547X
Total Pages : 207 pages
Book Rating : 4.8/5 (143 download)
Download or read book Recent Progress in Differential Geometry and Its Related Fields written by Toshiaki Adachi and published by World Scientific. This book was released on 2012 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Homogeneous Einstein metrics on generalized flag manifolds Sp(n)/(U(p) x U(q) x Sp(n - p - q)) / Andreas Arvanitoyeorgos, Ioannis Chrysikos and Yusuke Sakane -- On G2-invariants of curves in purely imaginary octonions / Misa Ohashi -- Magnetic Jacobi fields for Kahler magnetic fields / Toshiaki Adachi -- Geometry for q-exponential families / Hiroshi Matsuzoe and Atsumi Ohara -- Sasakian magnetic fields on homogeneous real hypersurfaces in a complex hyperbolic space / Tuya Bao -- TYZ expansions for some rotation invariant Kahler metrics / Todor Gramchev and Andrea Loi -- Kershner's tilings of type 6 by congruent pentagons are not Dirichlet / Atsushi Kubota and Toshiaki Adachi -- Eleven classes of almost paracontact manifolds with semi-Riemannian metric of (n + 1, n) / Galia Nakova and Simeon Zamkovoy -- Notes on geometry of q-normal distributions / Daiki Tanaya, Masaru Tanaka and Hiroshi Matsuzoe -- A remark on complex Lagrangian cones in H[symbol] / Norio Ejiri and Kazumi Tsukada -- Realizations of subgroups of G2, Spin(7) and their applications / Hideya Hashimoto and Misa Ohashi -- Bezier type almost complex structures on quaternionic Hermitian vector spaces / Milen J. Hristov
Author : Abhishek Bhattacharya
Publisher : Cambridge University Press
ISBN 13 : 1107019583
Total Pages : 252 pages
Book Rating : 4.1/5 (7 download)
Download or read book Nonparametric Inference on Manifolds written by Abhishek Bhattacharya and published by Cambridge University Press. This book was released on 2012-04-05 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ideal for statisticians, this book will also interest probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. It presents a systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important applications in medical diagnostics, image analysis and machine vision.
Author : Jonathan Gillard
Publisher :
ISBN 13 : 9783030395629
Total Pages : 164 pages
Book Rating : 4.3/5 (956 download)
Download or read book First Course in Statistical Inference written by Jonathan Gillard and published by . This book was released on 2020 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory. Written in a conversational and informal style, this concise text concentrates on ideas and concepts, with key theorems stated and proved. Detailed worked examples are included and each chapter ends with a set of exercises, with full solutions given at the back of the book. Examples using R are provided throughout the book, with a brief guide to the software included. Topics covered in the book include: sampling distributions, properties of estimators, confidence intervals, hypothesis testing, ANOVA, and fitting a straight line to paired data. Based on the author's extensive teaching experience, the material of the book has been honed by student feedback for over a decade. Assuming only some familiarity with elementary probability, this textbook has been devised for a one semester first course in statistics.
Author : Kenichi Kanatani
Publisher : Courier Corporation
ISBN 13 : 0486443086
Total Pages : 548 pages
Book Rating : 4.4/5 (864 download)
Download or read book Statistical Optimization for Geometric Computation written by Kenichi Kanatani and published by Courier Corporation. This book was released on 2005-07-26 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text for graduate students discusses the mathematical foundations of statistical inference for building three-dimensional models from image and sensor data that contain noise--a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. The numerous mathematical prerequisites for developing the theories are explained systematically in separate chapters. These methods range from linear algebra, optimization, and geometry to a detailed statistical theory of geometric patterns, fitting estimates, and model selection. In addition, examples drawn from both synthetic and real data demonstrate the insufficiencies of conventional procedures and the improvements in accuracy that result from the use of optimal methods.
Author :
Publisher : Academic Press
ISBN 13 : 0323913466
Total Pages : 490 pages
Book Rating : 4.3/5 (239 download)
Download or read book Geometry and Statistics written by and published by Academic Press. This book was released on 2022-07-15 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geometry and Statistics, Volume 46 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Handbook of Statistics series Updated release includes the latest information on Geometry and Statistics
Author : C. T. J. Dodson
Publisher :
ISBN 13 :
Total Pages : 270 pages
Book Rating : 4.3/5 (91 download)
Download or read book Geometrization of Statistical Theory written by C. T. J. Dodson and published by . This book was released on 1987 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert E. Kass
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 384 pages
Book Rating : 4.3/5 (91 download)
Download or read book Geometrical Foundations of Asymptotic Inference written by Robert E. Kass and published by Wiley-Interscience. This book was released on 1997-07-17 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Differential geometry provides an aesthetically appealing and often revealing view of statistical inference. Beginning with an elementary treatment of one-parameter statistical models and ending with an overview of recent developments, this is the first book to provide an introduction to the subject that is largely accessible to readers not already familiar with differential geometry. It also gives a streamlined entry into the field to readers with richer mathematical backgrounds. Much space is devoted to curved exponential families, which are of interest not only because they may be studied geometrically but also because they are analytically convenient, so that results may be derived rigorously. In addition, several appendices provide useful mathematical material on basic concepts in differential geometry. Topics covered include the following: 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 family regression Geometrical theory of divergence functions A classification of and introduction to additional work in the field
