Bayesian Statistics: Principles, Models, and Applications (Wiley Series in Probability and Statistics)
By S. James Press.
Description
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, an...
ISBN(s)
0471637297, 9780471637295
