Bayesian Statistics: Principles, Models, and Applications / Edition 1

Bayesian Statistics: Principles, Models, and Applications / Edition 1

by S. James Press
     
 

ISBN-10: 0471637297

ISBN-13: 9780471637295

Pub. Date: 01/28/1989

Publisher: Wiley

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

Overview

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.

Product Details

ISBN-13:
9780471637295
Publisher:
Wiley
Publication date:
01/28/1989
Series:
Wiley Series in Probability and Statistics Series, #210
Edition description:
Older Edition
Pages:
256
Product dimensions:
6.28(w) x 9.34(h) x 0.91(d)

Related Subjects

Table of Contents

THEORY.

Foundations.

Principles.

Approximations, Numerical Methods, and Computer Programs.

Assessment of Multivariate Prior Distributions: Assessing the Probability of Nuclear War.

MODELS AND APPLICATIONS.

Bayesian Inference in Regression.

Bayesian Multivariate Analysis of Variance and Covariance.

Bayesian Inference in Classification and Discrimination.

A Case Study in Applied Bayesian Inference.

Appendices.

Bibliography.

Author Index.

Subject Index.

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