Exponential Families Exact Theory

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Publisher :
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Exponential Families Exact Theory by : Ole E. Barndorff-Nielsen

Download or read book Exponential Families Exact Theory written by Ole E. Barndorff-Nielsen and published by . This book was released on 1970 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Exponential families

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (468 download)

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Book Synopsis Exponential families by : Ole Barndorff- Nielsen

Download or read book Exponential families written by Ole Barndorff- Nielsen and published by . This book was released on 1970 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Exponential Families in Theory and Practice

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Publisher : Cambridge University Press
ISBN 13 : 1108805434
Total Pages : 264 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Exponential Families in Theory and Practice by : Bradley Efron

Download or read book Exponential Families in Theory and Practice written by Bradley Efron and published by Cambridge University Press. This book was released on 2022-12-15 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation.

Fundamentals of Statistical Exponential Families

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Publisher : IMS
ISBN 13 : 9780940600102
Total Pages : 302 pages
Book Rating : 4.6/5 (1 download)

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Book Synopsis Fundamentals of Statistical Exponential Families by : Lawrence D. Brown

Download or read book Fundamentals of Statistical Exponential Families written by Lawrence D. Brown and published by IMS. This book was released on 1986 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Exponential Families and Conditioning

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Publisher :
ISBN 13 :
Total Pages : 268 pages
Book Rating : 4.:/5 (26 download)

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Book Synopsis Exponential Families and Conditioning by : Ole E. Barndorff-Nielsen

Download or read book Exponential Families and Conditioning written by Ole E. Barndorff-Nielsen and published by . This book was released on 1973 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Graphical Models, Exponential Families, and Variational Inference

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Publisher : Now Publishers Inc
ISBN 13 : 1601981848
Total Pages : 324 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Graphical Models, Exponential Families, and Variational Inference by : Martin J. Wainwright

Download or read book Graphical Models, Exponential Families, and Variational Inference written by Martin J. Wainwright and published by Now Publishers Inc. This book was released on 2008 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate statistical models in the exponential family.

Statistical Modelling by Exponential Families

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Publisher : Cambridge University Press
ISBN 13 : 1108476597
Total Pages : 297 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Statistical Modelling by Exponential Families by : Rolf Sundberg

Download or read book Statistical Modelling by Exponential Families written by Rolf Sundberg and published by Cambridge University Press. This book was released on 2019-08-29 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: A readable, digestible introduction to essential theory and wealth of applications, with a vast set of examples and numerous exercises.

Introduction to the Theory of Regular Exponential Families

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Publisher :
ISBN 13 :
Total Pages : 116 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Introduction to the Theory of Regular Exponential Families by : Søren Johansen

Download or read book Introduction to the Theory of Regular Exponential Families written by Søren Johansen and published by . This book was released on 1979 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Information and Exponential Families

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Publisher : John Wiley & Sons
ISBN 13 : 1118857372
Total Pages : 248 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Information and Exponential Families by : O. Barndorff-Nielsen

Download or read book Information and Exponential Families written by O. Barndorff-Nielsen and published by John Wiley & Sons. This book was released on 2014-05-07 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published by Wiley in 1978, this book is being re-issued with a new Preface by the author. The roots of the book lie in the writings of RA Fisher both as concerns results and the general stance to statistical science, and this stance was the determining factor in the author's selection of topics. His treatise brings together results on aspects of statistical information, notably concerning likelihood functions, plausibility functions, ancillarity, and sufficiency, and on exponential families of probability distributions.

Exponential Families and Theoretical Inference

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Publisher :
ISBN 13 :
Total Pages : 193 pages
Book Rating : 4.:/5 (474 download)

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Book Synopsis Exponential Families and Theoretical Inference by : B. Jørgensen

Download or read book Exponential Families and Theoretical Inference written by B. Jørgensen and published by . This book was released on 1995 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Exponential Families of Stochastic Processes

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Publisher : Springer Science & Business Media
ISBN 13 : 0387227652
Total Pages : 325 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Exponential Families of Stochastic Processes by : Uwe Küchler

Download or read book Exponential Families of Stochastic Processes written by Uwe Küchler and published by Springer Science & Business Media. This book was released on 2006-05-09 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive account of the statistical theory of exponential families of stochastic processes. The book reviews the progress in the field made over the last ten years or so by the authors - two of the leading experts in the field - and several other researchers. The theory is applied to a broad spectrum of examples, covering a large number of frequently applied stochastic process models with discrete as well as continuous time. To make the reading even easier for statisticians with only a basic background in the theory of stochastic process, the first part of the book is based on classical theory of stochastic processes only, while stochastic calculus is used later. Most of the concepts and tools from stochastic calculus needed when working with inference for stochastic processes are introduced and explained without proof in an appendix. This appendix can also be used independently as an introduction to stochastic calculus for statisticians. Numerous exercises are also included.

Statistical Modelling by Exponential Families

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Publisher : Cambridge University Press
ISBN 13 : 1108759912
Total Pages : 297 pages
Book Rating : 4.1/5 (87 download)

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Book Synopsis Statistical Modelling by Exponential Families by : Rolf Sundberg

Download or read book Statistical Modelling by Exponential Families written by Rolf Sundberg and published by Cambridge University Press. This book was released on 2019-08-29 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Löf in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exercises embedded within the text as well as at the ends of chapters.

Parametric Statistical Theory

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Publisher : Walter de Gruyter
ISBN 13 : 3110889765
Total Pages : 389 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Parametric Statistical Theory by : Johann Pfanzagl

Download or read book Parametric Statistical Theory written by Johann Pfanzagl and published by Walter de Gruyter. This book was released on 2011-05-03 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Geometric Structures of Statistical Physics, Information Geometry, and Learning

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Publisher : Springer Nature
ISBN 13 : 3030779572
Total Pages : 466 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Geometric Structures of Statistical Physics, Information Geometry, and Learning by : Frédéric Barbaresco

Download or read book Geometric Structures of Statistical Physics, Information Geometry, and Learning written by Frédéric Barbaresco and published by Springer Nature. This book was released on 2021-06-27 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and artificial intelligence increasingly use methodological tools rooted in statistical physics. Conversely, limitations and pitfalls encountered in AI question the very foundations of statistical physics. This interplay between AI and statistical physics has been attested since the birth of AI, and principles underpinning statistical physics can shed new light on the conceptual basis of AI. During the last fifty years, statistical physics has been investigated through new geometric structures allowing covariant formalization of the thermodynamics. Inference methods in machine learning have begun to adapt these new geometric structures to process data in more abstract representation spaces. This volume collects selected contributions on the interplay of statistical physics and artificial intelligence. The aim is to provide a constructive dialogue around a common foundation to allow the establishment of new principles and laws governing these two disciplines in a unified manner. The contributions were presented at the workshop on the Joint Structures and Common Foundation of Statistical Physics, Information Geometry and Inference for Learning which was held in Les Houches in July 2020. The various theoretical approaches are discussed in the context of potential applications in cognitive systems, machine learning, signal processing.

Theoretical Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 0387938397
Total Pages : 543 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis Theoretical Statistics by : Robert W. Keener

Download or read book Theoretical Statistics written by Robert W. Keener and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix.

Geometric Science of Information

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Publisher : Springer
ISBN 13 : 3030269809
Total Pages : 764 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Geometric Science of Information by : Frank Nielsen

Download or read book Geometric Science of Information written by Frank Nielsen and published by Springer. This book was released on 2019-08-19 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 4th International Conference on Geometric Science of Information, GSI 2019, held in Toulouse, France, in August 2019. The 79 full papers presented in this volume were carefully reviewed and selected from 105 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.

Mathematical Statistics and Probability Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 1461573971
Total Pages : 396 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Mathematical Statistics and Probability Theory by : W. Klonecki

Download or read book Mathematical Statistics and Probability Theory written by W. Klonecki and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 1972 the Institute of Mathematics and the Committee of Mathematics of the Polish Academy of Sciences organize annually con ferences on mathematical statistics in Wisla. The 1978 conference, supported also by the University of Wroclaw,was held in Wisla from December 7 to December 13 and attended by around 100 participants from 11 countries. K. Urbanik, Rector of the University of Wroclaw, was the honorary chairman of the conference. Traditionally at these conferences there are presented results on mathematical statistics and related fields obtained in Poland during the year of the conference as well as results presented by invited scholars from other countries. In 1978 invitations to present talks were accepted by 20 e~inent statisticians and probabilists. The topics of the invited lectures and contributed papers included theoretical statistics with a broad cover of the theory of linear models, inferences from stochastic processes, probability theory and applications to biology and medicine. In these notes there appear papers submitted by 30 participants of the conference. During the conference, on December 9, there was held a special session of the Polish Mathematical Society on the occasion of elect ing Professor Jerzy Neyman the honorary member of the Polish Mathematical Society. At this session W. Orlicz, president of the Polish Mathematical Society, K.Krickeberg,president of the Bernoulli Society. R. Bartoszynski and K. Doksum gave talks on Neyman IS con tribution to statistics, his organizational achievements in the U.S.