1st Edition
Generalized Linear Models A Bayesian Perspective
442 Pages
by
CRC Press
442 Pages
by
CRC Press
440 Pages
by
CRC Press
Also available as eBook on:
This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to... Read more
Part 1 Extending the GLMs. Part 2 Categorical and longitudinal data. Part 3 Semiparametric approaches. Part 4 Model diagnositics and value selection in GLMs. Part 5 Challenging problems in GLMs
Biography
Dipak K. Dey, Sujit K. Ghosh , Bani K. Mallick
