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

The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials. Seller Inventory # BVV.0471637297.G

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
Publication Date: 1989
Binding: Hardcover
Condition: good