ENGLISH

Generalized Linear Models: A Bayesian Perspective

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

Book information

Publisher
CRC Press
Year
2000
ISBN
0824790340, 9780824790349
Open Library ID
OL18140948M
Language
english
Format
PDF
Filesize
8 MB (8868349 bytes)
Series
Chapman & Hall CRC Biostatistics Series
Edition
1
Pages
442\442
Time added
2011-06-04 13:46:07

Description

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.

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