Bayesian Statistics: Principles, Models, and Applications (Wiley Series in Probability and Statistics)

Press, S. James

ISBN 10: 0471637297 / ISBN 13: 9780471637295

Published by Wiley, 1989

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Bibliographic Details

• Title: Bayesian Statistics: Principles, Models, and Applications (Wiley Series in Probability and Statistics)
• Publisher: Wiley
• Publication Date: 1989
• Language: English
• ISBN 10: 0471637297
• ISBN 13: 9780471637295
• Binding: hardcover
• Condition: Good

About this title

Synopsis

An introduction to Bayesian statistics, with emphasis on interpretation of theory, and application of Bayesian ideas to practical problems. First part covers basic issues and principles, such as subjective probability, Bayesian inference and decision making, the likelihood principle, predictivism, and numerical methods of approximating posterior distributions, and includes a listing of Bayesian computer programs. Second part is devoted to models and applications, including univariate and multivariate regression models, the general linear model, Bayesian classification and discrimination, and a case study of how disputed authorship of some of the Federalist Papers was resolved via Bayesian analysis. Includes biographical material on Thomas Bayes, and a reproduction of Bayes's original essay. Contains exercises.