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Springer Texts in Statistics Ser.: Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation by Christian P. Robert (2007, Trade Paperback)
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Springer Texts in Statistics Ser.: The Bayesian Choice : From Decision-Theoretic.
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Informazioni su questo prodotto
Product Identifiers
PublisherSpringer New York
ISBN-100387715983
ISBN-139780387715988
eBay Product ID (ePID)60417975
Product Key Features
Number of PagesXxvi, 602 Pages
Publication NameBayesian Choice : from Decision-Theoretic Foundations to Computational Implementation
LanguageEnglish
Publication Year2007
SubjectProbability & Statistics / General, Probability & Statistics / Bayesian Analysis
TypeTextbook
AuthorChristian P. Robert
Subject AreaMathematics
SeriesSpringer Texts in Statistics Ser.
FormatTrade Paperback
Dimensions
Item Weight82.2 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
TitleLeadingThe
Dewey Edition21
ReviewsFrom the reviews of the second edition:SHORT BOOK REVIEWS"The text reads fluently and beautifully throughout, with light, good-humoured touches that warm the reader without being intrusive. There are many examples and exercises, some of which draw out the essence of work of other authors. Each chapter ends with a "Notes" section containing further brief descriptions of research papers. A reference section lists about eight hundred and sixty references. Each chapter begins with a quotation from "The Wheel of Time" a sequence of books by Robert Jordan. Only a few displays and equations have numbers attached. This is an extremely fine, exceptional text of the highest quality."ISI Short Book Reviews, April 2002JOURNAL OF MATHEMATICAL PSYCHOLOGY"This book is an excellent introduction to Bayesian statistics and decision making. The author does an outstanding job in explicating the Bayesian research program and in discussing how Bayesian statistics differs form fiducial inference and from the Newman-Pearson likelihood approach…The book would be well suited for a graduate-level course in a mathematical statistics department. There are numerous examples and exercises to enhance a deeper understanding of the material. The writing is authoritative, comprehensive, and scholarly.""This book is a publication in the well-known Springer Series in statistics published in 2001. It is a textbook that presents an introduction to Bayesian statistics and decision theory for graduate level course … . The textbook contains a wealth of references to the literature; therefore it can also be recommended as an important reference book for statistical researchers. … for those who want to make a Bayesian choice, I recommend that you make your choice by getting hold of Robert's book, The Bayesian Choice." (Jan du Plessis, Newsletter of the South African Statistical Association, June, 2003)"This is the second edition of the author's graduate level textbook 'The Bayesian choice: a decision-theoretic motivation.' … The present book is a revised edition. It includes important advances that have taken place since then. Different from the previous edition is the decreased emphasis on decision-theoretic principles. Nevertheless, the connection between Bayesian Statistics and Decision Theory is developed. Moreover, the author emphasizes the increasing importance of computational techniques." (Krzysztof Piasecki, Zentralblatt MATH, Vol. 980, 2002), From the reviews of the second edition: SHORT BOOK REVIEWS "The text reads fluently and beautifully throughout, with light, good-humoured touches that warm the reader without being intrusive. There are many examples and exercises, some of which draw out the essence of work of other authors. Each chapter ends with a "Notes" section containing further brief descriptions of research papers. A reference section lists about eight hundred and sixty references. Each chapter begins with a quotation from "The Wheel of Time" a sequence of books by Robert Jordan. Only a few displays and equations have numbers attached. This is an extremely fine, exceptional text of the highest quality." ISI Short Book Reviews, April 2002 JOURNAL OF MATHEMATICAL PSYCHOLOGY "This book is an excellent introduction to Bayesian statistics and decision making. The author does an outstanding job in explicating the Bayesian research program and in discussing how Bayesian statistics differs form fiducial inference and from the Newman-Pearson likelihood approach...The book would be well suited for a graduate-level course in a mathematical statistics department. There are numerous examples and exercises to enhance a deeper understanding of the material. The writing is authoritative, comprehensive, and scholarly." "This book is a publication in the well-known Springer Series in statistics published in 2001. It is a textbook that presents an introduction to Bayesian statistics and decision theory for graduate level course ... . The textbook contains a wealth of references to the literature; therefore it can also be recommended as an important reference book for statistical researchers. ... for those who want to make a Bayesian choice, I recommend that you make your choice by getting hold of Robert's book, The Bayesian Choice." (Jan du Plessis, Newsletter of the South African Statistical Association, June, 2003) "This is the second edition of theauthor's graduate level textbook 'The Bayesian choice: a decision-theoretic motivation.' ... The present book is a revised edition. It includes important advances that have taken place since then. Different from the previous edition is the decreased emphasis on decision-theoretic principles. Nevertheless, the connection between Bayesian Statistics and Decision Theory is developed. Moreover, the author emphasizes the increasing importance of computational techniques." (Krzysztof Piasecki, Zentralblatt MATH, Vol. 980, 2002), From the reviews of the second edition: SHORT BOOK REVIEWS "The text reads fluently and beautifully throughout, with light, good-humoured touches that warm the reader without being intrusive. There are many examples and exercises, some of which draw out the essence of work of other authors. Each chapter ends with a "Notes" section containing further brief descriptions of research papers. A reference section lists about eight hundred and sixty references. Each chapter begins with a quotation from "The Wheel of Time" a sequence of books by Robert Jordan. Only a few displays and equations have numbers attached. This is an extremely fine, exceptional text of the highest quality." ISI Short Book Reviews, April 2002 JOURNAL OF MATHEMATICAL PSYCHOLOGY "This book is an excellent introduction to Bayesian statistics and decision making. The author does an outstanding job in explicating the Bayesian research program and in discussing how Bayesian statistics differs form fiducial inference and from the Newman-Pearson likelihood approach...The book would be well suited for a graduate-level course in a mathematical statistics department. There are numerous examples and exercises to enhance a deeper understanding of the material. The writing is authoritative, comprehensive, and scholarly." "This book is a publication in the well-known Springer Series in statistics published in 2001. It is a textbook that presents an introduction to Bayesian statistics and decision theory for graduate level course ... . The textbook contains a wealth of references to the literature; therefore it can also be recommended as an important reference book for statistical researchers. ... for those who want to make a Bayesian choice, I recommend that you make your choice by getting hold of Robert's book, The Bayesian Choice." (Jan du Plessis, Newsletter of the South African Statistical Association, June, 2003) "This is the second edition of the author's graduate level textbook 'The Bayesian choice: a decision-theoretic motivation.' ... The present book is a revised edition. It includes important advances that have taken place since then. Different from the previous edition is the decreased emphasis on decision-theoretic principles. Nevertheless, the connection between Bayesian Statistics and Decision Theory is developed. Moreover, the author emphasizes the increasing importance of computational techniques." (Krzysztof Piasecki, Zentralblatt MATH, Vol. 980, 2002)
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal519.5/42
Table Of ContentDecision-Theoretic Foundations.- From Prior Information to Prior Distributions.- Bayesian Point Estimation.- Tests and Confidence Regions.- Bayesian Calculations.- Model Choice.- Admissibility and Complete Classes.- Invariance, Haar Measures, and Equivariant Estimators.- Hierarchical and Empirical Bayes Extensions.- A Defense of the Bayesian Choice.
Synopsisthrough its decision-theoretic foundations, while the message contained in the other book and transmitted only through processing datasets is that the Bayesian methodology is a universal and multifaceted tool for data analysis. While introducing wider and less mathematical audiences to the elegance and simplicity of the Bayesian methodology in a shorter and therefore more focussed volume was also necessary, if only because some learnbetter from examplesthan fromtheory, I came to the conclusionthat there was no paradox in insisting on those foundations in another book! I am therefore immensely thankful to Jean-Michel Marin for initiating this epiphany (if I may rightly borrow this expression from Joyce!), as well as forseveralyearsofintensecollaboration. Similarly,theDeGrootPrizec- mittee of the ISBA--International Society for Bayesian Analysis--World meeting of 2004 in Valparaiso, Chile, greatly honored me by attributing to The Bayesian Choice this prestigious prize. In doing so, this committee highlighted the relevance of both foundations and implementation for the presentandfuture ofBayesianStatistics,when itstated thatthe"book sets a new standard for modern textbooks dealing with Bayesian methods, es- cially those using MCMC techniques, and that it is a worthy successor to DeGroot's and Berger's earlier texts". I am quite indebted to the members of the committee for this wonderful recognition. Third, it has been more than 18 years since I started working with John Kimmel from Springer New York (on a basic Probability textbook with Arup Bose that never materialized), and I always appreciated the support heprovidedoverthevariouseditionsofthebooks., Bayesian statistics is a very active research area with new theoretical results and applications. This book will serve as an introduction to the area., This graduate-level textbook, now in paperback, presents an introduction to Bayesian statistics and decision theory. Its scope covers both the basic ideas of statistical theory and some modern and advanced topics of Bayesian statistics., This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.
LC Classification NumberQA273.A1-274.9
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