Items related to Bayesian Statistical Modelling
Synopsis
Bayesian methods draw upon previous research findings and combine them with sample data to analyse problems and modify existing hypotheses. The calculations are often extremely complex, with many only now possible due to recent advances in computing technology. Bayesian methods have as a result gained wider acceptance, and are applied in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Bayesian Statistical Modelling presents an accessible overview of modelling applications from a Bayesian perspective.
* Provides an integrated presentation of theory, examples and computer algorithms
* Examines model fitting in practice using Bayesian principles
* Features a comprehensive range of methodologies and modelling techniques
* Covers recent innovations in bayesian modelling, including Markov Chain Monte Carlo methods
* Includes extensive applications to health and social sciences
* Features a comprehensive collection of nearly 200 worked examples
* Data examples and computer code in WinBUGS are available via ftp
Whilst providing a general overview of Bayesian modelling, the author places emphasis on the principles of prior selection, model identification and interpretation of findings, in a range of modelling innovations, focussing on their implementation with real data, with advice as to appropriate computing choices and strategies.
Researchers in applied statistics, medical science, public health and the social sciences will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a good reference source for both researchers and students.
"synopsis" may belong to another edition of this title.
From the Back Cover
Bayesian methods draw upon previous research findings and combine them with sample data to analyse problems and modify existing hypotheses. The calculations are often extremely complex, with many only now possible due to recent advances in computing technology. Bayesian methods have as a result gained wider acceptance, and are applied in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Bayesian Statistical Modelling presents an accessible overview of modelling applications from a Bayesian perspective.
* Provides an integrated presentation of theory, examples and computer algorithms
* Examines model fitting in practice using Bayesian principles
* Features a comprehensive range of methodologies and modelling techniques
* Covers recent innovations in bayesian modelling, including Markov Chain Monte Carlo methods
* Includes extensive applications to health and social sciences
* Features a comprehensive collection of nearly 200 worked examples
* Data examples and computer code in WinBUGS are available via ftp
Whilst providing a general overview of Bayesian modelling, the author places emphasis on the principles of prior selection, model identification and interpretation of findings, in a range of modelling innovations, focussing on their implementation with real data, with advice as to appropriate computing choices and strategies.
Researchers in applied statistics, medical science, public health and the social sciences will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a good reference source for both researchers and students.
"About this title" may belong to another edition of this title.
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Bayesian statistical modelling Peter Congdon.
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Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 CON 9780471496007 Sprache: Englisch Gewicht in Gramm: 550. Seller Inventory # 2501678
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Bayesian Statistical Modelling (Wiley Series in Probability and Statistics)
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Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9780471496007. Seller Inventory # 9773932
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Bayesian Statistical Modelling
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Bayesian Statistical Modelling
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Hardcover. Condition: Bon. Ancien livre de bibliothèque avec équipements. Couverture différente. Edition 2001. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Different cover. Edition 2001. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # G-581-282
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Bayesian Statistical Modelling.
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Bayesian Statistical Modelling Congdon, Peter
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Bayesian Statistical Modelling
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