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International Society for Bayesian Analysis (ISBA).
  • Language: en

International Society for Bayesian Analysis (ISBA).

  • Type: Book
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  • Published: Unknown
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  • Publisher: Unknown

Presents the International Society for Bayesian Analysis (ISBA), whose purpose is to foster the study of Bayesian analysis, including applications and its alternatives. Includes the constitution of the Society and its publications. Highlights the Constitution Committee, the Program Committee, and the Council of Sciences. Posts contact information for the treasurer via mailing address, telephone and fax numbers, and e-mail.

World Meeting of the International Society for Bayesian Analysis
  • Language: un
Bayesian Data Analysis, Third Edition
  • Language: en
  • Pages: 677

Bayesian Data Analysis, Third Edition

  • Type: Book
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  • Published: 2013-11-01
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  • Publisher: CRC Press

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly ...

Bayesian Core: A Practical Approach to Computational Bayesian Statistics
  • Language: en
  • Pages: 265

Bayesian Core: A Practical Approach to Computational Bayesian Statistics

This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book.

Principles of Uncertainty
  • Language: en
  • Pages: 746

Principles of Uncertainty

  • Type: Book
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  • Published: 2020-11-25
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  • Publisher: CRC Press

Praise for the first edition: Principles of Uncertainty is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. ... the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. ... A must-read for sure! —Christian Robert, CHANCE It's a lovely book, one that I hope will be widely adopted as a course textbook. —Michael Jordan, University of California, Berkeley, USA Like the prize-winning first edition, Principles of Uncertainty, Second Edition is an accessible, comprehensive text on the theory of Bayesian Statistics written in an appealing, inviting style, and packed with i...

Bayesian Econometrics
  • Language: en
  • Pages: 656

Bayesian Econometrics

Illustrates the scope and diversity of modern applications, reviews advances, and highlights many desirable aspects of inference and computations. This work presents an historical overview that describes key contributions to development and makes predictions for future directions.

Bayesian Methods
  • Language: en
  • Pages: 592

Bayesian Methods

  • Type: Book
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  • Published: 2001
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  • Publisher: Unknown

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering
  • Language: en
  • Pages: 306

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

  • Type: Book
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  • Published: 2018-07-12
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  • Publisher: Springer

These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They gather research from scholars in many different fields who use inductive statistics methods and focus on the foundations of the Bayesian paradigm, their comparison to objectivistic or frequentist statistics counterparts, and their appropriate applications. Interest in the foundations of inductive statistics has been growing with the increasing availability of Bayesian methodological alternatives, and...

Bayesian Statistics 9
  • Language: en
  • Pages: 717

Bayesian Statistics 9

Bayesian statistics is a dynamic and fast-growing area of statistical research and the Valencia International Meetings provide the main forum for discussion. These resulting proceedings form an up-to-date collection of research.