Generalized Linear Models: A Bayesian Perspective, 1st Edition (Hardback) book cover

Generalized Linear Models

A Bayesian Perspective, 1st Edition

Edited by Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick

CRC Press

440 pages

Purchasing Options:$ = USD
Hardback: 9780824790349
pub: 2000-05-25
SAVE ~$27.00
eBook (VitalSource) : 9780429182402
pub: 2000-05-25
from $28.98

FREE Standard Shipping!


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 overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.

Table of Contents

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

About the Editors

Dipak K. Dey, Sujit K. Ghosh , Bani K. Mallick

About the Series

Chapman & Hall/CRC Biostatistics Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General