Generalized Linear Models: A Bayesian Perspective

by Dipak K. Dey (Editor), Sujit K. Ghosh (Editor), Bani K. Mallick (Editor)

Overview

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

Product Details

ISBN-13:	9781040219157
Publisher:	CRC Press
Publication date:	05/25/2000
Series:	Chapman & Hall/CRC Biostatistics Series
Sold by:	Barnes & Noble
Format:	eBook
Pages:	440
File size:	4 MB

About the Author

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

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