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- PublisherChapman and Hall/CRC
- Publication date2024
- ISBN 10 036753973X
- ISBN 13 9780367539733
- BindingPaperback
- Edition number2
- Number of pages524
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Principles of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)
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Principles of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)
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Principles of Uncertainty (Paperback)
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Paperback. Condition: NEW. Paperback. 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, CHANCEIt's a lovely book, one that I hope will be widely adopted as a course textbook.Michael Jordan, University of California, Berkeley, USALike 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 interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems.Key Features: First edition won the 2011 DeGroot Prize Well-written introduction to theory of Bayesian statistics Each of the introductory chapters begins by introducing one new concept or assumption Uses "just-in-time mathematics"the introduction to mathematical ideas just before they are applied Like the De Groot winning first edition, the second edition of Principles of Uncertainty is an accessible, comprehensive guide to the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780367539733
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Principles of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)
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Principles of Uncertainty
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Principles of Uncertainty
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Principles of Uncertainty
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Joseph B. Kadane (born January 10, 1941) is the Leonard J. Savage University Professor of Statistics, Emeritus in the Department of Statistics and Social and Decision Sciences at Carnegie Mellon University. He is one of the early proponents of Bayesian s. Seller Inventory # 1533097528
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Principles of Uncertainty
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Taschenbuch. Condition: Neu. Neuware - Like the De Groot winning first edition, the second edition of Principles of Uncertainty is an accessible, comprehensive guide to the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. Seller Inventory # 9780367539733
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Principles of Uncertainty (Paperback)
Seller: AussieBookSeller, Truganina, VIC, Australia
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Paperback. Condition: new. Paperback. 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, CHANCEIt's a lovely book, one that I hope will be widely adopted as a course textbook.Michael Jordan, University of California, Berkeley, USALike 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 interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems.Key Features: First edition won the 2011 DeGroot Prize Well-written introduction to theory of Bayesian statistics Each of the introductory chapters begins by introducing one new concept or assumption Uses "just-in-time mathematics"the introduction to mathematical ideas just before they are applied Like the De Groot winning first edition, the second edition of Principles of Uncertainty is an accessible, comprehensive guide to the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780367539733
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