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

Press, S. James

ISBN 10: 0471637297 / ISBN 13: 9780471637295

Published by Wiley (edition 1), 1989

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Seller Inventory # 0471637297-11-1

Synopsis:

An introduction to Bayesian statistics, with emphasis on interpretation of theory, and application of Bayesian ideas to practical problems, is provided in this volume. The 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. The 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. The book also includes biographical material on Thomas Bayes, and a reproduction of Bayes's original essay.

Bibliographic Details

Title: Bayesian Statistics: Principles, Models, and...
Publisher: Wiley (edition 1)
Publication Date: 1989
Binding: Hardcover
Condition: Good
Edition: 1.